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Indicators and strategies

Popular Editors' picks

Popular Editors' picks

Multi-Asset SuperTrend Map [BigBeluga]🔵 OVERVIEW Multi-Asset SuperTrend Map is a comparative market-structure visualization tool that displays multiple assets side-by-side using a unified SuperTrend framework. Instead of switching charts or stacking indicators, this tool compresses several markets into a single view, allowing traders to instantly assess trend direction, volatility alignment, and volume pressure across assets. Each asset is reconstructed as a scaled synthetic candle stream, aligned to the current chart’s volatility, and overlaid with its own SuperTrend logic. 🔵 CORE CONCEPT SuperTrend as Regime Filter — Each asset uses the same ATR-based SuperTrend logic to determine bullish or bearish state. Volatility Normalization — Assets are scaled using ATR ratios so high-price and low-price symbols can be compared visually on one chart. Synchronized Time Axis — All assets are plotted on the current chart timeframe, enabling true bar-to-bar comparison. Trend + Delta Context — In addition to trend direction, the indicator aggregates directional volume (delta) to reveal participation strength. 🔵 CALCULATION & LOGIC 1. SuperTrend Engine The indicator uses TradingView’s native SuperTrend calculation: = ta.supertrend(factor, atrPeriod) ATR Length controls volatility smoothing. ATR Factor defines band width and trend sensitivity. Trend direction is binary: Bullish when price is above the SuperTrend line. Bearish when price is below the SuperTrend line. 2. Multi-Asset Scaling Logic Each external symbol is fetched using request.security() . ATR is calculated both on the chart symbol and the external symbol. A scaling coefficient is derived: chart ATR ÷ symbol ATR // --- compute scale factor on SAME timeframe atrChart = ta.atr(200) atrSym2 = request.security(sym, timeframe.period, ta.atr(200)) k = atrSym2 != 0.0 ? atrChart / atrSym2 : 1.0 All OHLC values are remapped so different assets share a comparable vertical range. 3. Synthetic Candle Reconstruction Each asset is redrawn using: Vertical lines for wicks Thick lines for candle bodies Candle color logic: Trend-based (SuperTrend direction) if enabled Otherwise standard bullish/bearish candle logic 4. SuperTrend Mapping The SuperTrend line for each asset is remapped and drawn as a polyline. This allows trend curvature and regime shifts to be compared visually across symbols. 5. Delta Volume Aggregation Directional volume is accumulated: Volume added when close > open Volume subtracted when close < open Delta is displayed per asset, showing whether bullish or bearish participation dominates. 🔵 VISUAL STRUCTURE Each asset is wrapped inside a bounding box representing its full recent range. Background color reflects current trend direction (bullish or bearish). Asset label displays: Symbol name Current price Trend direction arrow (▲ / ▼) Delta volume is displayed beneath the asset block for flow context. ⚠️MARKET SESSION BEHAVIOR On lower timeframes (e.g. 1m–12h), traditional stock markets are closed during weekends . During these periods, price data may appear as flat or static candles with minimal or no movement. This is expected behavior and reflects the absence of active trading, not a calculation error. Crypto markets remain unaffected and continue updating normally. 🔵 HOW TO USE Compare trend alignment across correlated markets (e.g., BTC vs ETH). Identify relative strength when one asset trends while others stall. Use delta volume to confirm whether trends are supported by participation. Spot early divergence when price trends align but delta disagrees. Combine with higher-timeframe structure or liquidity tools for execution. 🔵 CONCLUSION Multi-Asset SuperTrend Map transforms SuperTrend from a single-market indicator into a cross-market decision framework . By normalizing volatility, synchronizing time, and adding volume delta context, it enables traders to evaluate trend quality, alignment, and participation across assets — all from one chart. This makes it especially powerful for crypto pairs, index baskets, and correlated markets where relative behavior matters as much as absolute price direction.

Pine Script® indicator

Updated

Arc VWAP Supertrend [BOSWaves]Arc VWAP Supertrend - Momentum-Adaptive Trend Engine with VWAP-Confirmed Structure Overview Arc VWAP Supertrend is a dynamic trend-following system built around a self-accelerating arc that continuously repositions relative to price, combined with a multi-period VWAP confirmation layer that filters directional flips against prevailing volume-weighted price context. Rather than applying a static band or fixed multiplier envelope around price, the arc responds to both structural momentum and the distance between price and VWAP. As price extends further from the volume-anchored reference, the arc accelerates its chase, producing tighter trend adherence during high-conviction moves and broader breathing room during consolidation. This creates an inherently adaptive system that scales its sensitivity to actual market behaviour rather than a fixed parameter. Trend flips are assessed against session, weekly, and monthly VWAP simultaneously. Each flip is classified as confirmed when VWAP agrees with the directional change, or filtered when VWAP context conflicts with the signal, giving traders immediate visibility into the structural quality of each transition without additional overlay indicators. Conceptual Framework Arc VWAP Supertrend is built on the premise that trend-following tools should respond proportionally to the conditions they are measuring. A trend system applying identical sensitivity during a low-volatility consolidation and a high-momentum breakout treats structurally different environments as equivalent, introducing unnecessary noise in one context and unacceptable lag in the other. The arc mechanism addresses this through velocity-based acceleration. When a new trend begins, the arc is placed at a measured ATR distance from price, establishing structural breathing room. From that anchor point it begins accelerating toward price at a rate that scales with VWAP distance, moving faster when price is extended and easing when price is contained near the volume-weighted mean. Three principles shape the design: Trend direction should be confirmed by the market's own volume-weighted price context rather than a pure momentum or volatility calculation alone. Arc sensitivity should increase when price behaviour warrants it and reduce when conditions are contained. Structural flip levels should be maintained as actionable reference points only while they remain unbroken, disappearing immediately upon invalidation rather than cluttering the chart with historical noise. Theoretical Foundation The indicator combines a velocity-accumulating arc engine, ATR-scaled positioning, multi-period VWAP construction, and a distance-normalised acceleration boost into a single cohesive system. Arc velocity accumulates from zero on each new flip, increasing each smoothing interval by the base acceleration rate scaled by VWAP distance normalisation. This means the arc moves slowly immediately after a flip, when trend conviction is unproven, and progressively faster as the trend matures and price distance from VWAP grows. A slow ATR, calculated across 100 bars, provides a stable volatility reference governing initial arc placement and step size, insulating the system from transient volatility spikes that would otherwise cause erratic repositioning. VWAP is computed independently across three anchor periods: session, week, and month, each resetting cleanly at its respective boundary. The configurable filter mode allows traders to define which period must agree with a flip, whether any single agreement suffices, or whether full alignment across all three is required before a flip qualifies as confirmed. This creates a spectrum of filtering strictness suited to different trading approaches and timeframe contexts. Four systems operate in coordination: Arc Engine : Manages velocity accumulation, step progression, and directional positioning. VWAP Layer : Handles multi-period construction, distance normalisation, and flip qualification. Flip Level System : Creates, extends, and instantly removes horizontal structural reference lines. Visualisation Layer : Renders a candle gradient, cloud fill, and directional markers calibrated to current trend state. How It Works Arc VWAP Supertrend processes each bar through a structured sequence of operations: Initialisation : Occurs once sufficient ATR history exists, placing the arc below price at a configurable ATR multiple and establishing the opening trend direction. Trend State Logic : Close relative to arc governs trend state each bar, with a close below flipping to bearish and a close above flipping to bullish. Flip Processing : On each flip, the arc repositions to the opposite side of price at the full starting distance, velocity resets to zero, and a flip level is drawn at the pivot extreme. Arc Acceleration : The arc begins accelerating toward price at a rate scaled by both the base acceleration input and the current VWAP distance factor, with smoothing applied across a configurable bar window to reduce noise without introducing meaningful structural lag. VWAP Assessment : Each flip is simultaneously assessed against the selected VWAP filter, classifying transitions as confirmed where VWAP agrees with the new direction, or filtered where VWAP context conflicts. Flip Level Management : Flip levels extend rightward bar by bar until price closes through them, at which point the line and its associated label are deleted immediately. Visualisation Update : A candle gradient reflects both trend direction and distance from the arc, with colour intensity increasing as price extends further from the arc surface. A cloud fill between arc and price provides continuous directional context across the full visible chart range. Interpretation Arc VWAP Supertrend should be read as a continuous directional framework with structural quality classification at each transition point: Arc Surface : Functions as dynamic support or resistance depending on trend direction. While price holds above the arc in a bullish trend, the arc traces an accelerating floor beneath the advance. In a bearish trend the arc descends as an accelerating ceiling above price. Candle Gradient : Communicates extension relative to the arc, with bright candles indicating price is well extended from the arc and faded candles indicating proximity and potential inflection. Confirmed Flips : Carry the weight of VWAP alignment, where price is not only crossing the arc but doing so from a position consistent with the volume-weighted price context. Filtered Flips : Warrant additional validation, as VWAP is positioned counter to the new direction. Acting on filtered signals without supplementary confirmation introduces structural risk that confirmed signals do not carry. Flip Levels : Mark the price at which each directional change originated. While intact they serve as reference boundaries for re-entry, stop placement, and structural assessment. Their immediate removal on breach keeps the chart unambiguous, with only levels of ongoing structural relevance remaining visible. Cloud Fill Width : Gives a continuous visual measure of how aggressively the arc is tracking the current trend. A narrow cloud indicates close arc proximity and elevated flip risk; a wide cloud reflects a well-developed, momentum-backed trend with the arc accelerating firmly behind price. Signal Logic & Visual Cues Arc VWAP Supertrend communicates through four concurrent visual systems: Arc Line : Traces the current trend boundary, smoothed across the configured window and suppressed at flip bars to avoid visual discontinuity. Cloud Fill : Grades from the trend colour at arc proximity to full saturation at price, with transparency rendering it unobtrusive during normal trend conditions. Candle Colouring : Applies a gradient from the current trend colour at low distance to full saturation at high distance, with distance normalised against three ATR units, producing a live visualisation of trend extension directly on the price bars. Flip Markers : A pair of layered triangles, one solid and one semi-transparent glow, positioned at a configurable ATR offset from the arc to ensure visibility above candle wicks. Flip Level Lines : Extend from the pivot price rightward until breach, each accompanied by a price label whose size is configurable independently of the line style. Four alert conditions cover bullish and bearish transitions in both confirmed and filtered states, enabling automated monitoring of trend changes classified by their VWAP context. Strategy Integration Arc VWAP Supertrend applies across trend-following, momentum, and structure-based methodologies: Trailing Reference : The arc surface provides a natural trailing stop. As velocity accumulates and the arc accelerates toward price, it functions as a progressively tightening dynamic stop that responds to the maturity of the move rather than a fixed lookback period. Tiered Signal Treatment : VWAP confirmation classification allows confirmed flips to trigger immediate action while filtered flips prompt a verification step, building a natural two-tier entry discipline directly into the indicator's output without additional tools. Pullback Re-entry : Flip levels provide structural anchors for re-entry on pullbacks. A price return toward an intact flip level during a confirmed trend offers a structurally referenced entry point with the arc serving as the invalidation boundary beyond the level. Position Sizing : The candle gradient supports exposure scaling and risk assessment. Entries taken when candles are faded, indicating close arc proximity, carry greater structural uncertainty than entries aligned with a well-extended, brightly coloured trend. Multi-Timeframe Application : Higher-timeframe arc direction establishes macro bias while lower-timeframe flip confirmation and VWAP filter classification provide entry precision. Confirmed flips on the lower timeframe aligned with higher-timeframe arc direction represent the highest-quality intersection of the system's outputs. Technical Implementation Details Core Engine : Velocity-accumulating arc with ATR-scaled initial placement, step progression, and VWAP distance acceleration boost VWAP Layer : Independent session, weekly, and monthly VWAP computed from rolling cumulative volume and price-volume, resetting at each period boundary Filter System : Configurable agreement mode across session, week, month, any, or all VWAP periods with separate confirmed and filtered flip classification Visualisation : Smoothed arc plot, gradient cloud fill, ATR-normalised candle gradient, layered flip markers, and auto-removing flip level lines with configurable style, width, transparency, and label sizing Alert Coverage : Bullish confirmed, bearish confirmed, bullish filtered, and bearish filtered flip events Optimal Application Parameters Timeframe Guidance: 1 - 15 min : Intraday trend tracking with session VWAP filter for same-day directional context 1H - 4H : Swing trend identification with weekly VWAP filter for multi-session structural alignment Daily - Weekly : Macro trend positioning with monthly VWAP filter for broad directional confirmation Suggested Baseline Configuration: Arc Speed : 0.12 Start Distance : 2.0x Smoothing : 3 VWAP Filter : Session VWAP Speed Boost : 1.5 Arrow Offset : 1.2x These parameters represent a balanced starting point. Instruments with faster characteristic swing cadence benefit from higher arc speed; slower, trend-persistent instruments suit lower values with a higher start distance to avoid premature flips during normal retracements. Parameter Calibration Notes Use the following adjustments to refine behaviour without altering the core logic: Arc flipping too frequently : Raise Start Distance to place the arc further from price on each new trend, requiring a larger adverse move before a flip triggers. Arc too slow to follow strong trends : Raise Arc Speed or VWAP Speed Boost to increase acceleration rate, particularly on instruments with fast-developing directional moves. Too many filtered signals : Switch VWAP filter to Any to require only single-period agreement, loosening the confirmation threshold without removing VWAP context entirely. Too many false confirmed signals : Switch to All to require full agreement across session, weekly, and monthly VWAP before a flip qualifies as confirmed. Arc visually noisy during consolidation : Raise Smoothing to increase arc averaging, reducing short-term noise at the cost of modest additional lag during transitions. Flip levels persisting beyond usefulness : Reduce Max Levels to limit the number of active structural references retained simultaneously, concentrating display on the most recent pivot history. Disclaimer Arc VWAP Supertrend is a professional-grade trend analysis tool. Directional signals, flip classifications, and arc behaviour reflect historical price and volume relationships and do not constitute assured future outcomes. Performance is dependent on market conditions, instrument characteristics, parameter selection, and disciplined application within a broader analytical framework incorporating risk management, timeframe context, and corroborating analysis. BOSWaves recommends treating this indicator as one component of a structured trading methodology rather than a standalone signal system.

Pine Script® indicator

Liquidity Sniper Pro Liquidity Sniper PRO is a powerful, rule-based trading tool designed to help traders identify high-probability scalping opportunities using a combination of trend direction, volume confirmation, and higher timeframe confluence. Built with a smart money approach, this indicator filters out low-quality setups and focuses only on trades with strong momentum and institutional backing. 🚀 Key Features 📈 Trend-Based Entries Uses dual EMA structure (50 & 200) to identify: Strong bullish trends Strong bearish trends Only trades in the direction of the market 🔊 Volume Confirmation Filter Avoids weak and fake moves by confirming: High relative volume Institutional participation → Helps eliminate low-quality signals ⏱ Higher Timeframe (HTF) Confirmation Optional multi-timeframe analysis: Aligns trades with higher timeframe trend Increases accuracy and confidence 🎯 Smart Risk Management System Automatically calculates: Entry price Stop Loss (ATR-based) Take Profit levels (TP1, TP2, TP3) ✔ Built-in risk-to-reward structure (1:1, 1:2, 1:3) 📦 Visual Trade Zones (Institutional Style) 🟢 Profit Zone (Green Box) 🔴 Risk Zone (Red Box) Clear visual representation of: Trade structure Risk exposure Profit targets 🧠 Signal Quality Rating (A / B / C) Each trade is graded based on: Volume strength Trend momentum A = Strongest setups (high probability) B = Good setups C = Basic setups (use caution) 📊 Live Dashboard Panel Real-time market conditions displayed on chart: Trend Direction (Bullish / Bearish) Volume Strength (High / Low) HTF Confirmation Signal Quality Rating 💡 How to Use Wait for a signal (Buy/Sell) Check: Trend direction ✅ Volume = HIGH ✅ Quality = A or B ✅ Enter trade Follow TP levels and manage risk ⚠️ Best For Scalping (1m – 15m) Gold (XAUUSD) Indices (US30, NASDAQ) Forex pairs

Pine Script® indicator

3D Opportunity Cone [LuxAlgo]The 3D Opportunity Cone indicator is a multi-dimensional visualization tool that maps market conditions into a 3D geometric space to identify high-value, low-risk entry points. By synthesizing price action, volatility, and volume into a single spatial model, it allows traders to visualize the "distance" between current market states and optimal buying conditions. 🔶 USAGE The indicator projects a 3D cone onto the right side of the chart, representing a theoretical "Opportunity Space." A historical trail of dots moves through this space, showing how the market's internal mechanics have evolved over time. 🔹 The 3D Coordinate System The position of the market "point" within the cone is determined by three distinct factors: Height (Value Factor): Derived from the Stochastic oscillator. Higher positions in the cone represent oversold (value) conditions, while lower positions represent overbought states. Radius (Risk Factor): Derived from the Average True Range (ATR). Points closer to the center of the cone represent lower volatility risk, while points pushed toward the outer edges indicate high-volatility environments. Angle (Conviction Factor): Derived from Normalized Volume. The rotation around the central axis indicates the level of market participation and conviction behind the current price movement. 🔹 Interpreting the Zones The "Buy Zone" is located at the apex (top) of the cone. An ideal opportunity occurs when the market point is high (Value), centered (Low Risk), and supported by conviction. Conversely, the "Risk Zone" at the base of the cone represents overbought or high-volatility conditions where caution is required. 🔶 DETAILS The script uses a custom projection engine to convert 3D coordinates (X, Y, Z) into 2D chart space. The "Opportunity Space" is anchored to a Simple Moving Average (SMA) to provide a localized context for the visualization. The historical trail provides a temporal dimension, allowing users to see if the market is spiraling toward a value zone or drifting away into a high-risk state. The trail colors fade from red (High Risk/Overbought) to green (High Value/Oversold) to provide an immediate visual cue of market health. 🔶 SETTINGS 🔹 Cone Settings Evaluation Lookback: The period used for calculating the Stochastic, ATR, and Volume normalization. Cone Scale: Adjusts the visual size of the 3D cone on the chart. X Offset (Bars): Determines how many bars to the right of the current price the cone is rendered. 3D Tilt: Adjusts the perspective/inclination of the 3D projection. 🔹 Trail & Colors Highlight Color: The color of the current market point and its projection lines. Cone Fill Color: The background color of the cone's surface. Trail Length: The number of historical periods to display within the 3D space.

Pine Script® indicator

[ A L P H A X ] Swing Architect Predictive Swing Mapping AlphaX Swing Architect – Predictive Swing Mapping, Fibonacci Target Projection & Exhaustion Detection AlphaX Swing Architect is a professional-grade swing analysis and projection system built on a proprietary multi-factor swing engine. It detects completed swing highs and lows, measures their historical characteristics, and projects where the next swing is statistically likely to terminate — using Fibonacci-scaled target zones, time-based duration estimates, and real-time exhaustion tracking. Designed for swing traders and intraday position traders on XAUUSD, indices, forex, and crypto. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Swing Engine — How It Works At the core of AlphaX Swing Architect is a dynamic swing detection system that identifies confirmed swing highs and swing lows using adaptive highest/lowest scanning across a configurable lookback window. Unlike simple pivot detection, this engine waits for structural confirmation — a swing high is only registered when price breaks below a new high after establishing it, and a swing low is only registered when price breaks above a new low after establishing it. Once a swing completes, the engine measures three critical properties: Swing Size — The percentage move from swing high to swing low (or vice versa) Swing Duration — How many bars the swing took to complete Swing Velocity — The speed of the move (percentage per bar) These measurements are stored in a rolling historical buffer (configurable from 3 to 25 samples). The engine then uses this history to project where and when the current swing is likely to end. Three projection methods are available: Average — Balanced projection using the arithmetic mean of all samples Median — Outlier-resistant projection using the middle value Weighted — Recency-biased projection where recent swings carry more influence than older ones The Weighted method adapts fastest to changing market conditions — ideal for instruments that alternate between calm and volatile phases. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Six Analysis Layers AlphaX Swing Architect combines six independent analysis layers into a single cohesive system: 1 ─ Swing Zones (Shaded Boxes) Shaded boxes mark the confirmed swing high and swing low levels. Each box extends forward to the projection offset and displays: The exact price level of the swing point Volume data — Buy volume sum at swing lows, Sell volume sum at swing highs Directional arrows — ▲ for support zones (swing lows), ▼ for resistance zones (swing highs) The boxes are expanded vertically using ATR-based padding so the text sits clearly inside the zone without overlapping with price action. Box colors follow the AlphaX theme — green for bullish swing lows (support), red for bearish swing highs (resistance). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2 ─ Swing Leg Lines Solid colored lines connecting swing highs to swing lows — green for bullish legs, red for bearish legs Each completed swing leg is drawn as a solid line connecting the swing high to the swing low. This provides immediate visual context for the market's structural rhythm. Green lines — Bullish swing legs (price moved from low to high) Red lines — Bearish swing legs (price moved from high to low) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3 ─ Fibonacci Target Projection This is the primary predictive feature. Based on the historical average swing size, four target levels are projected forward: 0.618 Level (Teal) — Conservative target. The minimum expected move if the swing follows historical patterns. Ideal for partial profit taking. 1.000 Level (Green/Red) — The full projected move based on historical average. This is the primary target — the dashed projection line terminates here. 1.272 Level (Orange) — Extended target. Reached during momentum continuation moves. Indicates the swing is stronger than average. 1.618 Level (Red) — Extreme target. Reached during blow-off tops or capitulation sell-offs. Indicates exceptional momentum — also a high-probability exhaustion zone. Each level is displayed as a short horizontal marker with a label showing the Fibonacci ratio. The main projection line (dashed) connects the last swing point to the 1.000 target level and shows both the projected percentage move and the target price. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4 ─ Time Projection Vertical dotted line showing the estimated number of bars until swing completion Using the weighted average of historical swing durations, the engine projects how many bars the current swing is expected to last. This appears as a vertical dotted line at the estimated completion point. Helps traders anticipate when a reversal might occur, not just at what price Particularly useful for time-based strategies and options trading where timing matters as much as direction Can be toggled on/off independently ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5 ─ Exhaustion Detection System Orange warning label appearing when the current swing reaches the configurable threshold of the projected average The exhaustion engine continuously tracks the current swing's progress as a percentage of the projected average swing size. When the current move reaches the configurable threshold (default 85%), a warning fires. ⚠ Exhaustion Warning — Appears on the chart showing current progress vs projected target (e.g., "⚠ 2.1% / 2.5%") This is the highest probability reversal zone — historical data suggests the swing is running out of steam The warning does not guarantee reversal but indicates that statistically, most swings of this instrument have completed by this point Configurable threshold allows aggressive (70%) or conservative (100%) detection ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6 ─ Confidence-Scored Reversal Signals When the exhaustion system detects that a swing has reached its projected completion zone, the signal engine evaluates multiple confluence factors before generating an entry signal. ▲ Green Label (Bull Signal) — Dark text on green background. Fires when a bearish swing reaches exhaustion and a bullish reversal candle confirms. ▼ Red Label (Bear Signal) — White text on red background. Fires when a bullish swing reaches exhaustion and a bearish reversal candle confirms. Each signal is classified into tiers based on confidence score: S-Tier (75%+) — Highest probability. Strong trend alignment, high consistency, volume confirmation, deep exhaustion. A-Tier (55–74%) — High probability. Most factors aligned but one or two may be neutral. B-Tier (35–54%) — Moderate probability. Basic conditions met but some factors are weak. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 Multi-Factor Confidence Scoring Every reversal signal is scored by a real-time confidence engine that evaluates six independent factors: Trend Alignment (up to 25 points) HH/HL structure detected → bullish signal scores maximum LH/LL structure detected → bearish signal scores maximum Neutral structure → reduced score Counter-trend signal → zero points (strongest filter) Exhaustion Depth (up to 20 points) Current swing has reached or exceeded the projected average size Only fires when exhaustion warning is active Historical Consistency (up to 20 points) Measures how consistent historical swing sizes have been using statistical coefficient of variation Higher consistency → more reliable projections → higher score Erratic swing sizes → lower score → projections less trustworthy Volume Confirmation (up to 15 points) Volume delta within the current swing leg Bullish signals score higher when sell volume dominates (selling exhaustion) Bearish signals score higher when buy volume dominates (buying exhaustion) Sufficient History (up to 10 points) Full sample buffer filled → maximum score Partial buffer → reduced score Prevents signals from firing before enough data exists Zone Proximity (up to 10 points) How close price is to the projected target level At or beyond target → maximum score Still far from target → reduced score ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Trend Structure Analysis The engine analyzes the sequence of swing highs and swing lows to determine the market's structural trend: UPTREND — Higher highs and higher lows dominate recent swing history. Bullish signals carry maximum confidence. Bearish signals are penalized. DOWNTREND — Lower highs and lower lows dominate. Bearish signals carry maximum confidence. Bullish signals are penalized. NEUTRAL — Mixed structure. Both signal types receive moderate baseline scores. The trend strength percentage shows how dominant the pattern is across the lookback window (configurable from 2 to 10 swings). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Volume Delta Analysis Within each active swing leg, the engine separates volume into bullish (close > open) and bearish (close < open) components: Buy Volume Sum — Total volume on bullish candles within the leg Sell Volume Sum — Total volume on bearish candles within the leg Delta Volume — Buy minus Sell — shows net buying or selling pressure Volume Ratio — Delta as a percentage of total — shows conviction strength This data is displayed both on the swing zone boxes and in the dashboard. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Dashboard Intelligence A comprehensive AlphaX-branded dashboard provides real-time metrics organized into four sections: Swing History Individual percentage moves of the most recent completed swings Color-coded from green (bullish) to red (bearish) with gradient intensity Projection Next swing direction and projected percentage size Target price level Projection method in use Estimated duration in bars Active Swing Current progress as percentage of projected target Exhaustion status (Active or Warning) Current velocity compared to historical average (Fast / Normal / Slow / Crawling) Analysis Trend structure (Uptrend / Downtrend / Neutral) with strength percentage Projection consistency score (High / Moderate / Low / Erratic) Volume delta direction and magnitude Total completed swing count Current bull and bear signal confidence scores ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Swing Architect — Step by Step Step 1 — Let History Build Allow the indicator to detect at least 3–5 completed swings before acting on projections Check the Dashboard: Is Consistency score above 50%? If not, projections are unreliable — wait for more data. Step 2 — Identify the Active Swing Look at the dashed projection line — it shows where the current swing is expected to terminate Check the Fibonacci targets for multiple take-profit levels Note the time projection — when is the swing expected to complete? Step 3 — Monitor Exhaustion Watch the Dashboard "Progress" row — it shows current swing size vs projected size When progress exceeds 85% (or your configured threshold), the ⚠ exhaustion warning appears This is the zone where reversals are most likely — prepare for a potential entry Complete trade flow: Swing detection → Projection → Exhaustion warning → Reversal signal → Target Step 4 — Enter on Confirmed Signal Wait for a confidence-scored label (▲ or ▼) to appear Check the tier — S-Tier and A-Tier signals have the highest probability Enter in the signal direction with a stop loss beyond the swing extreme Step 5 — Set Targets Using Fibonacci Levels Use the 0.618 level for partial profit (conservative) Use the 1.000 level for full projected target Use the 1.272 and 1.618 levels for extended runners Trail your stop as price moves through each level Step 6 — Exit When Next Exhaustion Fires When the new swing you entered reaches its own exhaustion zone, consider taking remaining profit The cycle then repeats — wait for the next swing projection and reversal signal ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 Dynamic swing detection with structural confirmation — no repainting 📐 Fibonacci-scaled multi-target projection (0.618, 1.000, 1.272, 1.618) ⏱ Time-based duration projection — estimates when the swing may complete ⚠ Real-time exhaustion detection — warns when swing reaches statistical completion zone 📊 Three projection methods — Average, Median, and Weighted (recency-biased) 🧠 Multi-factor confidence scoring — trend, exhaustion, consistency, volume, history, proximity ▲▼ S/A/B Tier classified reversal signals with readable label colors 📈 Trend structure analysis — HH/HL/LH/LL pattern detection with strength scoring 📊 Volume delta analysis — buy vs sell volume within each swing leg ☁ Expanded swing zones with clear text positioning away from price action 📐 Comprehensive AlphaX-branded dashboard with four analysis sections 🎨 Cohesive dual-tone color theme — Green for bull, Red for bear, Orange for warnings 🔔 15+ alert conditions — swing changes, signals by tier, and exhaustion warnings ⚙ Fully configurable — all detection lengths, thresholds, and visual elements adjustable ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Swing Detection Swing Detection Length — Bars used to find swing highs/lows (default: 30) Pivot Confirmation Bars — Additional bars required to confirm swing validity Projection Future Projection Offset — How far targets are drawn into the future visually Historical Swing Samples — Number of completed swings in the calculation buffer (default: 6) Projection Method — Average, Median, or Weighted aggregation Show Fibonacci Targets — Toggle the four Fib extension levels Show Time Projection — Toggle the estimated duration marker Swing Zones Show Swing Zones — Toggle the shaded boxes at swing points Show Swing Leg Lines — Toggle the connecting lines between highs and lows Extend Zones Forward — Keep zones extending right indefinitely Zone ATR Thickness — Controls the vertical size of the zone boxes Exhaustion Detection Show Exhaustion Warnings — Toggle the ⚠ warning labels Exhaustion Threshold % — How much of the projected swing must be completed before warning (default: 85%) Trend Context Show Trend Context — Toggle HH/HL/LH/LL structure analysis Trend Lookback Swings — How many swing points to analyze for structure (default: 4) Signals Show Entry Signals — Toggle reversal signal labels Min Signal Confidence % — Minimum score required for a signal to display (default: 35%) Signal Cooldown — Minimum bars between consecutive signals (default: 5) Dashboard Show Dashboard — Toggle the information panel Position — Top Left, Top Right, Bottom Left, Bottom Right Dashboard Text Size — Tiny, Small, Normal Colors Bull Primary / Bright / Dim — Green family for bullish elements Bear Primary / Bright / Dim — Red family for bearish elements Fib 0.618 / 1.000 / 1.272 / 1.618 — Individual Fibonacci level colors Exhaustion Warning — Orange for warning elements Neutral / Neutral Light — Gray for structural elements ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions New Bullish Swing Started — Fires when swing direction changes to bullish New Bearish Swing Started — Fires when swing direction changes to bearish Swing Direction Changed — Fires on any direction change S-Tier Bull / Bear Reversal — Confidence ≥ 75% A-Tier Bull / Bear Reversal — Confidence 55–74% B-Tier Bull / Bear Reversal — Confidence 35–54% Any Bull / Bear / Any Signal — Combined alert conditions Swing Exhaustion Warning — Fires when current swing enters the projected completion zone All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is tuned for XAUUSD (Gold) and major indices on the 5-minute to 1-hour timeframes : Swing Detection Length at 30 captures meaningful swing structure without noise 6 historical samples provide balanced projection without excessive lag Weighted projection method adapts to gold's alternating calm/volatile sessions Exhaustion threshold at 85% catches most reversals before they fully form Confidence minimum at 35% filters weak setups while keeping valid signals For other instruments or timeframes, adjust: Higher timeframes (4H, Daily) — Increase Swing Length to 40–60, increase Samples to 8–12 Lower timeframes (1m, 5m) — Reduce Swing Length to 15–25, keep Samples at 5–6 Forex majors — Use defaults or reduce Swing Length slightly for tighter swings Crypto — Increase Swing Length to 35–50 (higher volatility creates wider swings) Less noise — Increase Min Confidence %, increase Exhaustion Threshold, increase Swing Length More signals — Decrease Min Confidence %, decrease Exhaustion Threshold to 75% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Swing Traders — Built specifically for identifying and projecting swing completion zones 📐 Fibonacci Traders — Automatic multi-level Fib projections based on actual historical swing data, not arbitrary levels 📊 Gold & Index Traders — Tuned for instruments with rhythmic swing behavior 🧠 Statistical Traders — Consistency scoring and confidence metrics provide a quantitative framework ⏱ Time-Based Traders — Duration projection helps anticipate when reversals may occur 📈 Traders who want a clean chart — No indicator soup. Zones, projections, and a dashboard — everything serves a purpose ⚠ Traders who struggle with exits — Exhaustion detection tells you when the move is statistically over ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All calculations are non-repainting — swing points are confirmed only after structural validation Projections update in real-time on the last bar as new swing data becomes available Dashboard updates on the last bar only for performance optimization Volume analysis uses candle direction (close vs open) as a proxy for buy/sell pressure — this is an approximation, not true order flow Maximum 500 labels, 500 boxes, and 500 lines are used — on very low timeframes with extended history, oldest drawings may be automatically removed by TradingView's rendering limits The indicator requires at least 3 completed swings before projections become meaningful — allow sufficient chart history to load ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals and projections are generated from historical and real-time price data using mathematical and statistical calculations — their accuracy or profitability is not guaranteed. Past swing behavior does not guarantee future swing sizes or durations. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand clarity, confidence, and precision from their charts.

Pine Script® indicator

by AlphaX-Trade

Pulse Trend Radar [WillyAlgoTrader]⦿ Pulse Trend Radar is an overlay indicator built on a Kaufman Adaptive Moving Average (KAMA) core with median-ATR volatility bands — producing an adaptive trend system that speeds up in trending markets and slows down in noise. Every trend flip generates a signal scored by a 4-factor quality engine (0–100) with letter grades (A+ through C). The indicator also detects and visualizes liquidity zones from pivot highs/lows, marks order blocks from the last opposite candle before each trend flip, tracks real-time P&L with a live trade tracker, and monitors win/loss outcomes — creating a complete trend-following framework with Smart Money context. 🧩 WHY THESE COMPONENTS WORK TOGETHER A trend indicator alone tells you direction — but not whether the entry is near a liquidity pool (where stops cluster), not whether there's institutional supply/demand nearby (order blocks), not how strong the signal is (all flips treated equally), and not how the system performs over time (no feedback). This indicator layers four analysis dimensions onto the adaptive trend core: KAMA adaptive trend + median ATR bands → Trend direction and flip detection Liquidity zones from pivots → Where stop-hunts and liquidity grabs are likely Order blocks from pre-flip candles → Where institutional supply/demand was established 4-factor signal scoring → Quality filtering — not all flips are equal Win/loss tracker → Performance feedback on this instrument and timeframe The KAMA core adapts its speed via the Efficiency Ratio — in a strong trend, the MA tracks price closely and the bands tighten, producing early signals. In choppy conditions, the MA barely moves and the bands widen, filtering out noise. The liquidity zones show where clusters of stops sit (above pivot highs, below pivot lows) — entries near these zones have higher follow-through because the liquidity grab fuels the move. The order blocks mark the institutional footprint before each trend change — these zones often act as support/resistance on retests. And the signal score combines trend strength, volume delta, efficiency acceleration, and liquidity proximity into a single quality metric — letting you prioritize A+ setups over C-grade ones. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Kaufman Adaptive Moving Average (KAMA) trend core. The KAMA computes a smoothing constant from the Efficiency Ratio: ER = |price − price | / sum(|price − price |, N) fastSc = 2 / (fastLen + 1), slowSc = 2 / (slowLen + 1) sc = (ER × (fastSc − slowSc) + slowSc)² KAMA = KAMA + sc × (price − KAMA ) When ER → 1 (pure trend): sc approaches fastSc² → KAMA tracks price tightly. When ER → 0 (pure noise): sc approaches slowSc² → KAMA barely moves. This produces a line that accelerates into trends and goes flat in chop — without any manual period switching. 2️⃣ Median ATR volatility bands. Instead of standard ATR (arithmetic mean of true ranges), the indicator uses a median of recent true ranges computed via a ring buffer over the volatility lookback (default 50 bars). The median is more robust to outlier spikes (gap bars, flash wicks) than the mean — producing smoother, more stable band widths. Bands: upper = KAMA + medianATR × multiplier, lower = KAMA − medianATR × multiplier. Trend flips when the previous bar's source price crosses beyond a band: source > upper → bullish, source < lower → bearish. The active band (lower in uptrend, upper in downtrend) is plotted as the trend line. 3️⃣ Displacement-based gradient fill. The fill between the trend line and price is not a fixed transparency — it scales with displacement: displacement = |price − KAMA| / (medianATR × multiplier). The further price stretches from KAMA, the more intense the fill becomes (transparency decreases from 95 to 60). This creates a visual "heat map" effect: faint fill near KAMA (low extension), bright fill far from KAMA (overbought/oversold). This gives immediate visual feedback on how extended the current move is without needing a separate oscillator. 4️⃣ Liquidity zone detection and sweep tracking. Pivot highs and lows (configurable lookback, default 4 bars) are marked as liquidity zones: — Above pivot highs → bearish liquidity (buy stops cluster above swing highs — potential sell-side liquidity) — Below pivot lows → bullish liquidity (sell stops cluster below swing lows — potential buy-side liquidity) Each zone extends rightward as a thin box (height = 0.15× medianATR). Zones are automatically removed when price sweeps through them (high crosses above bearish zone top, or low crosses below bullish zone bottom) — representing the liquidity grab event. Up to 15 zones per side (configurable). The signal scoring engine measures the nearest liquidity zone distance on each trend flip — entries closer to a liquidity pool receive a higher quality score because the stop-hunt provides fuel for the ensuing move. 5️⃣ Order block detection on trend flips. When the trend flips, the previous bar is marked as an order block: — Bullish flip → demand order block (the last bearish candle before the reversal — where institutional buying absorbed selling pressure) — Bearish flip → supply order block (the last bullish candle before the drop — where institutions distributed) Each OB is drawn as a box from the previous candle's high to low, extending rightward. OBs are automatically invalidated (deleted) when price closes beyond the opposite edge after 3+ bars — indicating the zone has been broken. Up to 10 OBs per side (configurable). 6️⃣ 4-factor signal quality scoring (0–100). Each trend flip is scored on four factors: — 📐 Trend strength (25 pts) : combined from ER (directional efficiency) and displacement from KAMA — measures how strong the trend is at the moment of the flip — 📊 Volume delta alignment (25 pts) : buy volume vs sell volume accumulated during the previous trend leg — bullish flip with positive volume delta scores higher (smart money was accumulating) — ⚡ Efficiency acceleration (25 pts) : current ER minus previous ER — positive acceleration means the trend is gaining momentum, not losing it — 💧 Liquidity proximity (25 pts) : distance to the nearest liquidity zone — closer = higher score (the flip is near a liquidity grab point) Grades: A+ (≥ 80), A (≥ 60), B (≥ 40), C (< 40). Signal labels display "Long A+" / "Short B" etc. 7️⃣ OBV-based volume regime detection. On Balance Volume (OBV) delta = OBV − SMA(OBV, 20). Classified as: — Accumulation : OBV delta > 0 — more volume on up-moves than down-moves (institutional buying) — Distribution : OBV delta < 0 — more volume on down-moves (institutional selling) Displayed in the dashboard with directional coloring. Auto-displays "N/A" on instruments without volume data. 8️⃣ Live trade tracker with P&L. On each signal: a dashed entry line extends horizontally, a vertical connector line tracks from entry to current price, and a P&L label updates in real-time showing percentage gain/loss. Green = profit, red = loss. Replaced on each new signal. 9️⃣ Win/loss markers + win rate tracking. Each signal is tracked as a mini-trade: entry at signal close, SL at entry ± medianATR × SL multiplier, TP1 at entry ± risk × TP1 multiplier. If TP1 is reached before SL → green ● marker at the signal bar (win). If SL is reached first → red ● marker (loss). Running win rate displayed in the dashboard as "67% (4W/2L)". 🔟 ATR-based TP/SL with hit tracking. Three take-profit levels as risk multiples (default 1.0/2.0/3.0 × risk) plus SL (default 3× medianATR from entry). Lines extend rightward with labels showing price + percentage. Labels update with ✓ on hit (green) or ✗ on SL hit (red). Active until the next signal replaces them. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — KAMA: Efficiency Ratio from configurable lookback → adaptive smoothing constant → KAMA line that accelerates in trends, goes flat in chop. Step 2 — Median ATR bands: True ranges stored in ring buffer → median computed → upper/lower bands = KAMA ± median × multiplier. Step 3 — Trend detection: Previous bar's source > upper band → bullish flip. Source < lower band → bearish flip. Active band plotted as trend line. Gradient fill scales with displacement. Step 4 — Liquidity zones: Pivot highs/lows → boxes above/below. Swept zones auto-deleted. Step 5 — Order blocks: On flip → previous candle becomes OB. Invalidated when price closes beyond opposite edge. Step 6 — Signal scoring: 4 factors (trend strength, volume delta, ER acceleration, liquidity proximity) → 0–100 → A+/A/B/C grade. Step 7 — Trade tracking: SL/TP placed, lines extend, win/loss evaluated per trade. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — adaptive trend line, liquidity zones, and order blocks appear 2. "Long A+" / "Short B" labels = trend flip signals with quality grade 3. Green/red liquidity zone boxes = where stops cluster (potential sweep targets) 4. Green/red order blocks = institutional supply/demand zones 5. SL/TP lines auto-appear with P&L tracker 👁️ Reading the chart: — 🟢 Green trend line = bullish (lower band active) — 🔴 Red trend line = bearish (upper band active) — 🟢/🔴 Gradient fill = displacement from KAMA (brighter = more extended) — 🟢 Small boxes below price = bullish liquidity zones (buy-side stops) — 🔴 Small boxes above price = bearish liquidity zones (sell-side stops) — 🟢 Larger boxes = demand order blocks (institutional buying zone) — 🔴 Larger boxes = supply order blocks (institutional selling zone) — 🟢 ● = win (TP1 reached), 🔴 ● = loss (SL hit) — Dashed line + PnL label = live trade tracker 📊 Dashboard fields: — Trend: ▲ Bullish / ▼ Bearish — Last Signal: BUY/SELL with grade — Score: 0–100 quality rating — Strength: trend strength percentage — P&L: current trade percentage — Win Rate: wins/losses with percentages — SL / TP1: current trade levels with ✓/✗ status — Vol Regime: Accumulation / Distribution — Vol Delta: buy vs sell volume percentage — Efficiency: current ER percentage 🔧 Tuning guide: — Too many signals: increase Band Multiplier (2.0–2.5) or ER Length (15–20) — Too few signals: decrease Band Multiplier (1.2–1.5) or ER Length (8–10) — Signals too late: decrease Slow Smoothing (15–20), decrease Volatility Length (20–30) — Stops too tight: increase SL ATR Multiplier (2.5–4.0) — Want only A+/A signals: monitor grades in dashboard, skip B/C entries ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Efficiency Ratio Length (default 13): KAMA lookback — higher = smoother — Fast/Slow Smoothing (default 2/30): KAMA acceleration/deceleration — Band Multiplier (default 1.8): band width in median ATR — Volatility Length (default 50): median ATR ring buffer size 🎯 SL/TP: — SL (× ATR) (default 3): stop distance in median ATR — TP1/TP2/TP3 (× risk) (default 1.0/2.0/3.0): R:R multiples 💧 Liquidity: — Pivot Lookback (default 4) / Max Zones (default 15) 🟧 Order Blocks: — Max Order Blocks (default 10) 🎨 Visual: — Gradient fill, trade tracker, win/loss markers (all toggleable) — Configurable signal label size (Tiny–Large) — Configurable dashboard font size (Tiny–Normal) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY / 🔴 SELL — ticker, price, TF, SL, TP1, TP3 All support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. Trend flips use the previous bar's source vs the previous bar's band value — the signal fires on the bar after the crossing bar closes. KAMA and band values are deterministic once a bar is confirmed. — 📐 The median ATR is more robust than standard ATR . A single flash wick or gap bar shifts the mean (standard ATR) significantly but barely affects the median. This produces more stable band widths and fewer false flips during anomalous bars. — 📊 Volume delta is accumulated within each trend leg and resets on every trend flip. It represents the buy/sell balance during the specific move — not the overall volume profile. The pre-reset delta value is used for the signal score (capturing the exiting leg's character). — 💧 Liquidity zones are automatically swept and removed when price touches them. This prevents stale zones from cluttering the chart. If a zone disappears, it means price swept through it — the liquidity has been taken. — 🟧 Order blocks are invalidated after 3+ bars if price closes beyond the opposite edge. This prevents old OBs that have clearly failed from persisting. — ⚖️ The 4-factor score uses the volume delta from before the trend reset (preResetVolDelta) — not the current leg's delta, which would be zero at the moment of the flip. This correctly captures whether the previous leg had accumulation or distribution behind it. — 📏 Win/loss tracking evaluates TP1 vs SL only — if TP1 is reached before SL, it's a win. The trade closes on the first event and is not re-evaluated. — 🛠️ This is a trend-following signal and analysis tool , not an automated trading bot. It provides adaptive trend detection, liquidity context, order block zones, and signal quality grading — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume features auto-adapt to instruments without volume data (OBV and volume delta show "N/A").

Pine Script® indicator

by WillyAlgoTrader

SuperTrend Cluster (Zeiierman)█ Overview SuperTrend Cluster (Zeiierman) is a weighted multi-SuperTrend regime indicator that combines 5 differently configured SuperTrend models into a single consensus view. Instead of relying on a single ATR length and a single factor, the script builds a cluster of fast, medium, and slow SuperTrend members, measures how strongly they agree, and then plots the dominant bullish or bearish regime as a weighted trend line. The result is a cleaner trend map built from internal SuperTrend agreement rather than a single trend line. █ How It Works For each bar, the script does 3 main things: ⚪ Build 5 SuperTrend members Each member first smooths the source with the selected moving average type and length, then applies its own SuperTrend calculation using the chosen ATR Length and Factor. That gives 5 outputs: 5 direction states 5 active SuperTrend lines ⚪ Measure weighted agreement Each member contributes its assigned weight to either the bullish side or the bearish side. The script sums: Bullish cluster weight Bearish cluster weight Those are converted into: Bull Cluster Score Bear Cluster Score Cluster Strength So the final regime is based on weighted internal agreement rather than on a single member. ⚪ Filter through the Base SuperTrend Even if the cluster is bullish or bearish enough, the selected Base SuperTrend must also align with that side before the final regime flips. That means: A bullish cluster only becomes active if the base member is bullish A bearish cluster only becomes active if the base member is bearish This keeps the final output more structured and avoids cluster flips that are not confirmed by the chosen anchor member. █ How to Use Use this for trend trading with SuperTrend. Bull Cluster → look for longs. Bear Cluster → look for shorts. The % shows how strong the trend is: Higher % = stronger agreement Low % = weak/mixed market Use the weighted SuperTrend line as your guide: Above it → bullish bias Below it → bearish bias Pullbacks to the line = potential entries Best trades happen when direction and score are both strong. █ How to Read the Cluster Scores Bull Cluster Score Measures how much of the total weighted cluster is currently bullish. Bear Cluster Score Measures how much of the total weighted cluster is currently bearish. █ Settings Consensus Threshold — minimum weighted agreement required before the bullish or bearish cluster becomes valid. Base SuperTrend Index — selects which of the 5 members acts as the base reference for flip markers, label placement, and final alignment. ATR Length — controls how fast or slow the volatility band reacts. Factor — controls how far the SuperTrend line sits from the price. Smoothing — selects the moving average used before the SuperTrend is calculated. Length — controls how much smoothing is applied. Weight — controls that member’s influence inside the final weighted cluster. Key effect: Lower ATR Length + lower Factor = faster, more reactive member Higher ATR Length + higher Factor = slower, more stable member Higher Weight = greater impact on cluster direction Higher Consensus Threshold = fewer but stronger regime flips ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.

Pine Script® indicator

Supertrend Laboratory Supertrend Laboratory (ST-Lab) A Multi-Algorithm Trend & Regime Analysis Engine 🎓 THEORETICAL FOUNDATION The Supertrend Laboratory (ST-Lab) is not a single indicator; it is a comprehensive research and analysis environment built into a single tool. It was designed to solve a fundamental problem in trend trading: no single algorithm is perfect for all markets or all conditions. ST-Lab addresses this by providing an arsenal of 28 distinct Supertrend calculation engines , ranging from classic statistical methods to proprietary, advanced mathematical models. The core philosophy is to empower the trader to become a researcher, allowing them to experiment, test, and discover the optimal trend-following algorithm for their specific instrument, timeframe, and market regime. Architectural Pillars Multi-Algorithm Core: At its heart is the ability to switch between 28 unique mathematical approaches for calculating the Supertrend's baseline and bands. This includes methods based on fractal geometry, information theory, state-space estimation (Kalman), and digital signal processing (DSP). Advanced Noise Filtering: A sophisticated filtering module can be applied to either the price source or the final Supertrend line. It includes 13 different filter types, from classic MAs to proprietary adaptive models like Spectral Laguerre and Vortex Core, allowing for precise control over the smoothness-vs-lag trade-off. Chaos & Regime Detection: Acknowledging that not all trends are equal, ST-Lab incorporates a powerful regime filter. Using metrics from chaos theory like the Hurst Exponent , Permutation Entropy , and the Lyapunov Exponent , it can quantify market predictability. When enabled, this system can block signals during periods of high chaos or randomness, focusing only on high-quality trending environments. Integrated Performance Analysis: A full-featured backtesting and performance tracking dashboard is built directly into the indicator. This allows for immediate, objective feedback on how any combination of algorithm, filter, and settings performs, tracking metrics like Win Rate, Profit Factor, and Max Drawdown. 🔬 THE ALGORITHM COMPENDIUM ST-Lab includes 28 distinct engines. Each calculates the Supertrend's baseline and/or band width using a different mathematical approach. Understanding their nature is key to selecting the right tool for the job. Statistical & Adaptive Algos (1-14) Gaussian Fractal Filter: A smooth, adaptive engine. It uses a SuperSmoother filter for the baseline and adjusts its bands based on the market's fractal dimension. Best for balancing smoothness and responsiveness. Shannon Entropy Adaptive: Measures market information content or "surprise." In high-entropy (random, choppy) markets, bands widen to avoid noise. In low-entropy (trending, predictable) markets, bands tighten. Excellent for assets that switch between clean trends and messy consolidation. Hilbert Cycle Adaptive: Employs a Hilbert Transform to find the dominant cycle period in the price data. It then phase-locks the baseline filter to this cycle, creating a highly responsive trendline for cyclical assets. Ideal for commodities and forex pairs with known cyclical behavior. Volume-Imbalance Flow: A volume-centric model. The baseline adapts based on smoothed volume delta and money flow, while the bands react to volume-at-price imbalances. Powerful in markets where volume is a key leading indicator. Kalman State Filter: A state-space model that treats the true trend as a hidden state to be estimated. It produces an exceptionally smooth and predictive baseline that filters out measurement noise. A top-tier choice for noisy instruments. Wavelet Decomposition: Deconstructs price into multiple layers (approximations and details) to separate the underlying trend from high-frequency noise. The baseline is a reconstruction of the most significant layers. Useful for multi-layered analysis of market movement. Kalman Position–Velocity: An advanced Kalman filter that models price not just as a position, but also its rate of change (velocity). The baseline is a prediction of the next bar's position. Offers a predictive quality for momentum analysis. Adaptive Recursive Filter: A simplified machine-learning concept where the filter's weightings adapt based on its own recent error. It learns to track price more closely over time. An interesting model for exploring self-adapting systems. Entropy-Weighted KAMA: A hybrid model that combines the efficiency ratio of a KAMA with the information entropy of the price stream, creating a doubly adaptive moving average. A sophisticated choice for highly variable markets. Nadaraya–Watson Regression: A non-parametric kernel regression method. It calculates the baseline by taking a weighted average of past prices, where weights are determined by a Gaussian kernel. It's mathematically intensive and produces a smooth, regressive trendline. Bayesian Information Filter: An alternative to the Kalman filter that operates on information content (inverse of variance). It provides a robust, statistically-grounded trend estimate. Garman–Klass Realized Volatility: Uses the advanced G-K formula to calculate historical volatility for the bands, offering a more statistically complete volatility measure than simple ATR. Efficiency Ratio Adaptive: The classic approach of using the Chande Efficiency Ratio to adapt the ATR multiplier. Bands widen in inefficient (choppy) markets and tighten in efficient (trending) markets. Low-Lag Filtered: A modular engine that allows you to apply separate advanced filters (SuperSmoother, Kalman, AlphaBeta) to both the price source and the ATR calculation for maximum lag reduction. DAFE Proprietary Architectures (15-28) Dual Engine Gate: Runs two Supertrends (fast and slow) in parallel. It uses a consensus/disagreement logic to dynamically boost the multiplier during conflicting signals, effectively filtering whipsaws. Path Curvature Flow: Measures the geometric curvature of the smoothed price path. Bands widen dramatically during sharp turns (high curvature) and tighten on straight, linear trends. Geometrically intuitive. Acceleration Regime: A physics-based model that calculates the acceleration of price. Bands expand during periods of high acceleration (breakouts) and contract during constant velocity (stable trends). Multi-Timeframe Coherence: Calculates the trend direction on the current chart and two higher timeframes. The bands adapt based on the degree of "coherence" or agreement across all three TFs. Bands tighten during full alignment. Zero-Lag Ensemble: A consensus-based engine that uses three different zero-lag MAs (ZLEMA, Hull, Kalman). A trend is confirmed only when a user-defined number of them agree, providing a high-confidence baseline. Jurik Velocity Adaptive: Employs the legendary JMA for its ultra-smooth, low-lag baseline, with band adaptation based on price velocity. Cyber Regime Filter: Uses a DSP approach to determine if the market is in a "trend mode" or "cycle mode" and adjusts the baseline and bands accordingly. VIDYA Momentum Gate: Uses a Volatility-Adjusted Dynamic Moving Average (VIDYA) where the smoothing is gated by the Efficiency Ratio, preventing signals in low-momentum chop. Ultimate Consensus Engine: The most powerful "meta-algorithm." It runs the top N selected algorithms in the background, weighs their performance in real-time, and generates a final baseline from their weighted consensus. The best starting point for analysis. Recursive Zero-Lag Engine: A pure error-correction model. It applies multiple orders of zero-lag compensation to an EMA, with each order correcting the lag of the previous one. This creates an extremely responsive, "over-corrected" trendline. For traders who prioritize speed above all else. Phase-Locked Zero-Lag: Uses a Hilbert Transform to find the dominant cycle and subtracts exactly one quarter-cycle of lag. This is the theoretical optimal for lag removal in cyclical markets, creating a zero-phase filter that doesn't smear peaks or troughs. Predictive Deviation Engine: A forward-looking model. It uses linear regression to forecast the next bar's price and centers the Supertrend on this predicted path. The bands adapt based on the model's predictive accuracy. Aims to be one step ahead of the market. Zero-Lag Fractal Resonance: A hybrid engine combining a ZLEMA with fractal dimension. The bands "resonate" with the market's structure, shrinking dramatically in clean trends (D ≈ 1.0) and expanding to filter out pure noise (D ≈ 2.0). Quantum Momentum Zero-Lag: A dual-ZLEMA system (fast and slow) that creates a momentum differential. A signal can only fire if the momentum is strong enough to pass through a dynamic "quantum gate," filtering out weak or indecisive moves. Includes an optional squeeze filter. 🌪️ THE NOISE & CHAOS FILTERING ENGINE You can apply one of 13 filters to the Source price, the final Supertrend Line, or Both. DAFE Proprietary Filters: Spectral Laguerre (adaptive step-response), Hybrid Adaptive (Kalman/Wilder fusion), and Vortex Core (fluid dynamics vorticity filter) offer unique and powerful smoothing characteristics. Chaos Theory Filters: Hurst Exponent, Permutation Entropy, and Lyapunov Exponent are adaptive filters that automatically adjust their smoothing length based on market predictability. They become slower in choppy markets and faster in trending markets. Classic DSP & Low-Lag Filters: Includes industry standards like the Hull MA (fast), ZLEMA (zero-lag), Adaptive KAMA, SuperSmoother (excellent smoothing), McGinley Dynamic (market-speed adaptive), and T3 (composite smoothed). Chaos Regime Filter When enabled, this system blocks all new buy/sell signals if the market is deemed too chaotic or unpredictable, based on thresholds you set for the Hurst, Permutation Entropy, and Lyapunov exponents. This is a powerful tool to enforce discipline and avoid trading during periods of pure randomness. 📊 PERFORMANCE TRACKING & DASHBOARD When enabled, the built-in backtester simulates trades based on the selected algorithm and settings. Customizable Strategy: Define your starting capital, position size, and exit strategy. The stop-loss can dynamically trail the Supertrend line or be a fixed ATR multiple/percentage. Take-profits can be set based on Risk:Reward, ATR, or percentage. Comprehensive Dashboard: The on-chart dashboard provides a complete overview: Algorithm & Filter: Confirms your selected configuration. Trend Status: Displays the current trend direction. Regime Analysis: Shows the real-time values for Hurst, Entropy, and Lyapunov, and the overall "Regime Quality" score. Performance Stats: Displays key metrics like Total Trades, Win Rate %, Profit Factor, Net P&L, and Max Drawdown %. 🚀 PRACTICAL APPLICATION & OPTIMIZATION GUIDE The power of ST-Lab lies in its flexibility, but this can be daunting. Follow this workflow for best results. Step 1: Choose Your Battleground (Algorithm Selection) Start Here: Begin with the Ultimate Consensus Engine or Gaussian Fractal Filter. They are robust generalists. Observe Your Asset: Does your market have clean, long trends? Try a classic like Kalman State Filter. Is it highly cyclical? Use Hilbert Cycle Adaptive. Is it extremely fast and noisy? Experiment with the Recursive Zero-Lag or Phase-Locked engines. The Goal: Find an algorithm whose baseline "fits" the personality of your market. Step 2: Tame the Noise (Filter Selection) Once you have an algorithm you like, apply a filter to the Supertrend Line. For Speed: Use Hull MA or ZLEMA. For Smoothness: Use SuperSmoother or DAFE Spectral Laguerre. For Adaptability: Use Hurst Exponent or one of the other chaos-based filters. Step 3: Avoid the Void (Chaos Filter) If you are still getting whipsawed in directionless chop, enable the Block Signals in Chaos feature. Tuning: Adjust the thresholds one by one. Lower the Hurst Threshold or raise the PE Threshold to make the filter more aggressive in blocking signals. Step 4: Measure What Matters (Performance Tracking) Enable the Performance Dashboard. Set the Stop Loss and Take Profit parameters to match your personal trading style. Iterate: Make small adjustments to the algorithm, filter, and multiplier, and observe the impact on the Win Rate and Profit Factor. Let the data guide your optimization. ⚖️ RESPONSIBLE USAGE & LIMITATIONS It's a Laboratory, Not a Holy Grail: The purpose of this tool is research and optimization. No single setting will be perfect forever. Continuous evaluation is required. Curve-Fitting Risk: With so many parameters, it is possible to over-optimize the settings for past performance. Always validate your chosen settings on out-of-sample data. Past Performance is Not Indicative of Future Results: The backtester is a guide, not a guarantee. Real-world trading involves slippage, commissions, and psychological factors not present in the simulation. 🔮 CONCLUSION The Supertrend Laboratory is a definitive toolkit for the serious student of trend analysis. It provides an unparalleled collection of mathematical engines, filters, and analytical tools, transforming the chart into a dynamic research environment. By allowing you to dissect, compare, and quantify the performance of dozens of trend-following methodologies, ST-Lab empowers you to move beyond generic indicators and engineer a trend analysis system that is precisely calibrated to your market and your strategy. This is the tool for those who aren't just looking for signals, but for a deeper understanding of the trend itself. — Dskyz, Trade with insight. Trade with anticipation. (Again and again)

Pine Script® indicator

by DskyzInvestments

Quantum Scalper 5M Welcome to the Quantum Scalper 5M, a highly precise, confluence-based reversal indicator designed specifically for lower timeframes. Unlike traditional indicators that generate signals on simple crossovers, this system is built on a strict "Touch & Reject" logic, filtering out market noise and focusing only on high-probability reversal zones. 🔥 Core Philosophy: The Power of Triple Confluence A signal is ONLY generated when price simultaneously interacts with three independent technical components. It must "touch/wick" the extreme levels of all three components and strictly "close" inside them, confirming a valid rejection. Support & Resistance (SR): Dynamic lookback-based structure levels. Bollinger Bands (BB): Volatility-based standard deviation bands. Quantum Trend Flow (QTF): An advanced ATR and Volatility-based dynamic channel. ⚙️ Key Features: Strict "Touch & Reject" Logic: Buy signals appear only when the low of the candle touches the lower BB, lower QTF, and Support, while the close remains above them. Sell signals require the exact opposite at resistance zones. Dynamic Risk/Reward (RR) Boxes: Once a signal is triggered, the indicator automatically draws a real-time Risk/Reward box (Default: 0.5% SL, 1.0% TP). These boxes dynamically extend to the right with every new candle until the Take Profit or Stop Loss is explicitly hit, acting as a visual trade journal on your chart! Multi-Timeframe (MTF) Trend Filter: An optional built-in higher timeframe filter ensures you are only taking scalp trades in the direction of the macro trend. Momentum & Trend Dashboard: A clean, non-intrusive dashboard displays the current MTF Trend status, RSI-based Momentum strength (Strong/Weak Bull or Bear), and the last active signal. Clean Visuals: By default, the complex bands and channels are hidden to keep your chart perfectly clean. You only see what matters: Price action, strict signals, and your dynamic RR boxes. 📊 How to Use: Timeframe: Optimized for 5-minute (5M) and 15-minute (15M) charts. Markets: Highly effective on Crypto, Forex, and Indices with decent volatility. Risk Management: The dynamic RR boxes are visual guides. Always use hard stop losses in your actual exchange terminal. Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always backtest strategies before using real funds.

Pine Script® indicator

Liquidity Sweep [EXCAVO]Liquidity Sweep Swing-Level Zone Detection with Lifecycle and Sweep Reversal The Liquidity Sweep indicator identifies price zones directly below significant swing lows and above significant swing highs — areas where resting orders tend to accumulate. Price often reacts at these levels before changing direction. The indicator marks these zones on the chart and tracks when price enters them. The concept is straightforward: swing lows and swing highs attract resting orders. When price dips below a swing low or pokes above a swing high and then reverses, it indicates the zone has been tested and rejected. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator. Blue zones appear below swing lows, red zones appear above swing highs. Step 2 → Watch for orange. When a zone turns orange, price has entered it — the zone is being tested. Step 3 → Check for sweep confirmation. A reversal candle (bullish close above a blue zone, bearish close below a red zone) with volume and wick confirmation indicates the zone sweep is complete. Step 4 → Check the dashboard for trend direction, active zone count, and total sweeps detected. Step 5 → Adjust Swing Length for your timeframe. Higher values produce fewer but more significant zones. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ Pivot Detection and Zone Placement The indicator detects swing highs and lows using symmetric pivot lookback (N bars left and right). When a pivot low is confirmed, a bullish zone is placed at the swing low extending downward by a configurable ATR multiple: zone_top = swing_low zone_bottom = swing_low - ATR(14) × zone_depth For pivot highs, a bearish zone extends upward: zone_top = swing_high + ATR(14) × zone_depth zone_bottom = swing_high ◆ Anti-Clustering Filter Before creating a new zone, the indicator checks the distance to every existing zone of the same type. If the midpoint of an existing zone is within min_distance × ATR, the new zone is rejected. This prevents multiple zones stacking at similar price levels. ◆ Zone Lifecycle: Active → Activated → Swept / Expired Active zones extend forward on each bar. When price enters a zone (low touches a bull zone top, or high touches a bear zone bottom), the zone transitions to activated state (orange fill). Price then has a configurable number of bars (reversal window) to produce a valid sweep reversal. If no reversal occurs, the zone returns to active state. ◆ Sweep Reversal Confirmation A sweep is confirmed when all conditions are met within the reversal window: Bullish sweep: close > open AND close > zone_top Bearish sweep: close < open AND close < zone_bottom Optional filters add volume confirmation (volume > SMA × multiplier) and wick rejection (the candle body must be in the direction of the reversal with a wick extending into the zone). All conditions require bar close confirmation when repainting is disabled. ◆ Zone Expiry and Pool Management Zones older than the configured expiry (default 300 bars) are automatically removed. The total zone pool is capped at max_zones × 2, with the oldest zones removed first when the cap is exceeded. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Zone Lifecycle with Visual State Most liquidity indicators place static levels on the chart. This indicator tracks each zone through a lifecycle — active (blue/red), activated (orange when price enters), and swept (reversal confirmed). The color change gives immediate visual feedback on which zones are being tested in real time. ◆ Multi-Filter Sweep Confirmation A sweep is not just price touching a level. The indicator requires a directional reversal candle, optional volume spike confirmation, and optional wick rejection — all within a configurable time window. This filters noise and reduces false sweep signals. ◆ ATR-Adaptive Zone Sizing Zone depth scales with current volatility via ATR. In high-volatility markets, zones are thicker (price swings are wider). In low-volatility markets, zones are tighter. Combined with the anti- clustering filter, this produces clean zone placement across all instruments and timeframes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel (top right) with key metrics: Trend - UPTREND / DOWNTREND based on EMA 50 Bull Zones - count of active bullish zones on chart Bear Zones - count of active bearish zones on chart Bull Sweeps - total bullish sweep reversals detected Bear Sweeps - total bearish sweep reversals detected Legend table (bottom left) explains every visual element. Toggle in Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Zones Swing Length - 10 (bars left/right to confirm pivot, 2-50) Zone Depth - 0.5 xATR (zone thickness from swing point) Max Active Zones - 8 (oldest removed when exceeded) Zone Expiry - 300 bars (auto-remove unreached zones) Min Zone Distance - 1.5 xATR (prevents zone clustering) Confirmation Reversal Window - 3 bars (bars allowed after zone entry) Volume Confirmation - ON (require above-average volume) Volume Multiplier - 1.0 (volume threshold ratio) Rejection Wick - ON (require wick rejection from zone) Visualization Bullish / Bearish / Signal Color - customizable chart colors Bar Coloring - OFF (optional coloring of sweep bars) Dashboard Show Dashboard - ON Show Legend - ON Alert Settings Allow Repainting - OFF (signals on bar close only) JSON Alerts - OFF (bot-compatible webhook format) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Bullish Sweep - price swept a swing low zone and reversed Bearish Sweep - price swept a swing high zone and reversed Any Sweep - either direction for general monitoring Enable JSON Alerts in settings for bot-compatible webhook format. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.

Pine Script® indicator

Gold/DXY Correlation Oscillator Gold/DXY Correlation Oscillator — Regime-Filtered RSI Signals This indicator measures the rolling Pearson correlation between Gold (the chart instrument) and the US Dollar Index (DXY), and uses that correlation regime to gate RSI-based buy/sell signals. The core premise is straightforward: Gold and the US Dollar tend to move inversely. When this inverse relationship breaks down — i.e., the correlation rises above a user-defined threshold — trade signals are suppressed, reducing false entries during regimes where the normal macro relationship is not in force. ───────────────────────────────────── How it works ───────────────────────────────────── 1. Correlation Measurement A rolling Pearson correlation (default: 20 bars) is calculated between Gold's close price and DXY's close price (fetched via request.security). The result ranges from -1.0 (perfect inverse) to +1.0 (perfect positive). 2. Regime Filter The correlation is compared to a user-set threshold (default: -0.3). Only when the correlation is below this threshold — indicating the typical inverse relationship is active — are trade signals enabled. 3. Signal Generation Buy Signal : Correlation below threshold AND RSI crosses above the oversold level (default: 30) Sell Signal : Correlation below threshold AND RSI crosses below the overbought level (default: 70) ───────────────────────────────────── How to read the sub-panel ───────────────────────────────────── • Correlation line — turns green when the inverse regime is active (below threshold), red when it is not • Yellow dashed line — the active threshold level • Green shading — fills the zone between threshold and -1.0 only when the regime is active • ▲ BUY / ▼ SELL labels — appear at the correlation value on signal bars, with a background colour pulse • Zero line (dotted) — reference for neutral correlation ───────────────────────────────────── Inputs ───────────────────────────────────── • DXY Ticker Symbol — default CAPITALCOM:DXY; change to TVC:DXY if your data provider requires it • Correlation Lookback Period — rolling window for Pearson calculation (default: 30) • Correlation Threshold — cut-off below which the inverse regime is considered active (default: -0.3) • RSI Period — standard RSI lookback (default: 14) • RSI Oversold Level — buy crossover level (default: 30) • RSI Overbought Level — sell crossunder level (default: 70) ───────────────────────────────────── Alerts ───────────────────────────────────── Two alert conditions are built in: • "Gold Buy Signal" — fires on a confirmed buy condition • "Gold Sell Signal" — fires on a confirmed sell condition Both are compatible with TradingView webhook alerts. ───────────────────────────────────── Notes & limitations ───────────────────────────────────── • The correlation line will show as na for the first (lookback) bars on any chart. This is expected behaviour. • DXY data availability depends on your TradingView data subscription. If signals do not appear, verify the DXY ticker resolves correctly on your account. • This indicator is non-repainting. All calculations reference confirmed bar closes only (lookahead = barmerge.lookahead_off). ───────────────────────────────────── Disclaimer ───────────────────────────────────── This script is published for educational and analytical purposes only. It does not constitute investment advice and is not intended for use as the sole basis for any trading decision. Past signal behaviour does not guarantee future results. Use at your own risk.

Pine Script® indicator

Azeemfx buy and sell indicator Azeem fx buy and sell indicator - works on all pairs

Pine Script® indicator

Updated

Bayesian Kelly Strategy Influenced by this paper: papers.ssrn.com Uses Bayesian Updating and Kelly Criterion to minimize Volatility and MDD while using maximum x2 leverage

Pine Script® strategy

by nasu_is_gaji

Updated

AG Pro CCI Reversion Quality [AGPro Series]AG Pro CCI Reversion Quality Overview AG Pro CCI Reversion Quality is a chart-based analysis framework designed to evaluate the quality of potential mean reversion conditions after meaningful CCI displacement. The script is not built around the simplistic idea that every overextended reading should immediately reverse. Instead, it focuses on whether a stretch condition begins to mature into a more structured, readable, and context-aware reversion environment. The core objective is to separate raw CCI extremes from higher-quality reversion candidates. In many conventional oscillator workflows, a high positive or negative CCI reading is treated as a direct trigger. This script does not follow that approach. A strong stretch may still reflect healthy continuation, trend persistence, or unstable counter-trend conditions. For that reason, the script evaluates the quality of the reversion setup rather than the existence of a threshold breach alone. The indicator is built for users who want a more selective framework around mean reversion. It examines whether price has deviated enough from an EMA-based reference mean, whether the reversion path remains meaningful, whether trend pressure is working against the setup, and whether recent structure suggests a cleaner or more crowded return path. The output is a contextual quality view rather than a one-dimensional overbought or oversold label. This means the script should be understood as a decision-support tool for chart study and workflow organization. It is intended to help users distinguish between conditions that are immature, weak, blocked, developing, or stronger within a mean reversion context. It does not guarantee that price will reverse, and it does not assume that every stretch condition deserves a fade. What the script does The script monitors CCI displacement and then evaluates whether that displacement is beginning to convert into a more credible reversion environment. In practical terms, the workflow asks a sequence of questions. First, is there a meaningful stretch? Second, is the move beginning to lose directional quality or show reversion readiness? Third, is there enough room back toward the mean to matter? Fourth, is dominant trend pressure still strong enough to reduce the attractiveness of fading the move? Fifth, is nearby structure relatively clean, or is the path crowded by congestion and repeated mean interaction? By combining those layers, the script attempts to reduce the noise associated with raw oscillator threshold logic. A positive stretch does not automatically imply a short setup. A negative stretch does not automatically imply a long setup. The script instead checks whether the overall reversion context is becoming more coherent. This framework can be useful in discretionary workflows where users want to prioritize cleaner mean reversion candidates over mechanically reacting to every extreme oscillator reading. It is also useful for users who prefer a visual structure that summarizes context rather than one that continuously emits aggressive directional prompts. Unique edge The unique edge of this script is that it treats CCI as the starting point of the analysis, not the end point. Many oscillator-based studies stop at the detection of an extreme value. AG Pro CCI Reversion Quality continues beyond that stage and asks whether the extreme is maturing into a higher-quality reversion environment. This makes the tool different from a basic CCI threshold script, a classic overbought/oversold marker, or a simple cross-based reversal detector. The script is not designed to label every extreme. It is designed to grade the environment around the extreme. The indicator also keeps a clear distinction between stretch direction and stretch intensity. A market may be in a positive stretch or a negative stretch, but the degree of that stretch can still vary between mild, extended, and extreme conditions. In parallel, the script separately estimates reversion quality, trend pressure against the reversion idea, distance back to the reference mean, and structural friction. This multi-layered structure is meant to help users avoid treating all extreme readings as equivalent. Another important difference is that the script explicitly accounts for context that can weaken a counter-trend reversion idea. Strong directional pressure, repeated interactions with the mean, and crowded local structure can all reduce the clarity of a fade. Instead of ignoring those conditions, the model reflects them in the displayed quality state. Methodology The script begins with a CCI calculation and identifies whether price is in a neutral regime, a positive stretch regime, or a negative stretch regime. It then classifies stretch intensity according to threshold-based displacement logic. The purpose of this stage is to define whether the market is extended enough for reversion analysis to become relevant. From there, the indicator evaluates reversion readiness. This layer looks for signs that the stretch may be beginning to lose directional quality. Rather than relying on one isolated condition, the readiness component blends several pieces of information, such as directional change in CCI behavior, body structure, wick behavior, and simple stalling characteristics. This is meant to produce a broader view of whether reversion conditions are starting to organize. The model then evaluates distance to mean. This matters because a reversion concept is less meaningful if price is already too close to the reference mean, while a more meaningful opportunity may exist when displacement remains materially extended. The reference anchor used here is an EMA-based mean, and the script also visualizes an ATR-based reversion zone around that mean. Trend pressure is treated as a separate contextual penalty. This is a key design choice. A mean reversion idea that opposes strong directional pressure may be materially weaker than a similar stretch in a less forceful trend environment. The script therefore estimates how much prevailing directional pressure works against the reversion idea and reduces the effective quality view accordingly. Structure friction is also included. This component is intended to reflect whether the recent path is relatively clean or crowded. Repeated interaction with the mean, compression, and congestion can reduce the clarity of a reversion path. Instead of assuming that all distance from the mean is equally attractive, the script attempts to reflect when the path back toward the mean is noisy or structurally inefficient. All of these elements are combined into a composite Reversion Quality view. The final output is then expressed through panel information, chart labels, the zone display, and state logic. State model The state model is intentionally selective. It is meant to help users read context, not flood the chart with constant directional calls. NEUTRAL indicates that there is no active stretch regime currently qualifying for reversion analysis. WATCH indicates that a stretch exists and some reversion characteristics are forming, but the overall quality remains in an earlier or less mature stage. READY indicates that the reversion quality has advanced enough to meet the preferred threshold defined by the user inputs. This does not imply certainty or guaranteed reversal. It simply means that the model sees a stronger monitored reversion context than it did at lower-quality states. WEAK indicates that a stretch may exist, but the quality remains below the preferred threshold. This state is intentionally treated with caution. BLOCKED indicates that the environment is materially impaired by elevated opposing pressure or structural friction. In other words, the stretch may exist, but the model does not consider the reversion context clean enough. These states are designed to provide a workflow hierarchy rather than a promise hierarchy. The purpose is to help users prioritize and interpret, not to replace judgment. Visual structure The reference mean is displayed as an EMA-based mean line. Around it, the script plots an ATR-based reversion zone. This zone is intended to help users see the region surrounding the mean that is being used as the reversion anchor. The zone becomes more visually expressive when an active stretch context is present and more neutral when no active stretch is in focus. The on-chart labels are designed to show the dominant local state when relevant. Depending on user settings, the script can display WATCH, READY, BLOCKED, and optionally WEAK labels. The label system is filtered by spacing logic so the chart remains more readable and does not endlessly repeat the same message on adjacent bars. The information panel summarizes the active context. It is designed to show state, current reversion side, stretch direction, stretch intensity, reversion quality, trend pressure versus reversion, distance to mean, structure friction, setup bias, and a short risk note. The panel can also be repositioned from the settings, allowing the user to adapt placement to chart layout and personal preference. The chart guide labels are included to make the mean and zone easier to identify visually. Their role is descriptive, not predictive. Signals and alerts The alert structure is built around monitored reversion states rather than trading promises. The available alert conditions include Ready Long Reversion, Ready Short Reversion, Watch Long Reversion, Watch Short Reversion, Reversion Quality Upgrade, and Reversion Quality Breakdown. These alerts are designed to notify the user that the modeled reversion environment is changing. They should not be interpreted as guaranteed turning points. The script does not know future price behavior and does not claim to identify all reversals. It only identifies conditions that fit its internal reversion-quality logic. Because different assets, sessions, and volatility structures behave differently, users should always validate whether the alert behavior matches their own chart-reading process and timeframe preference. Key inputs The script includes inputs for CCI length, reference mean length, multiple stretch thresholds, READY and WATCH thresholds, trend pressure filter strength, structure friction lookback, reversion zone width, label spacing, background highlight transparency, and visual display controls. These inputs are intended to let users adapt the framework to different instruments and chart conditions. The script is not presented as universally optimal out of the box for all markets or all styles. Some users may prefer a more selective threshold structure, while others may prefer earlier WATCH states. Similarly, different assets may respond differently to the same mean length or zone width. The visual controls are included to help users keep the chart readable. Users can enable or disable signal labels, WATCH labels, WEAK labels, background highlights, guide labels, and the information panel. Label size and panel text size are also configurable. How to interpret the tool A useful way to interpret the script is to think of it as a contextual filter around reversion conditions. A high stretch value alone is not enough. The quality concept becomes more meaningful when stretch, readiness, distance to mean, and contextual penalties begin to align. If the script is neutral, it is signaling that no active stretch regime is currently in focus. If it is in WATCH, the script sees an emerging reversion environment, but one that may still be early or incomplete. If it reaches READY, the model is identifying a stronger monitored reversion context according to its current thresholds. If the state is BLOCKED, the model is emphasizing that pressure or structure is reducing the attractiveness of the reversion idea. The panel is especially helpful for separating why a setup is weak. In some cases, quality may be limited because distance to mean is too thin. In other cases, trend pressure may still be high. In others, structure friction may be elevated even if displacement exists. This decomposition is intentional because it gives the user a more transparent framework than a single opaque signal. What this script is not This script is not a simple CCI threshold indicator. It is not designed to mark every move above or below a fixed level as a reversal opportunity. It is not a guaranteed turning-point detector. Markets can remain extended for longer than expected, and strong trends can continue even after oscillator readings become extreme. It is not a standalone execution system. The script does not account for all trade management variables, liquidity considerations, news catalysts, slippage, or user-specific risk parameters. It is not a substitute for independent chart reading. It is intended to support analysis, not replace it. Limitations and transparency Like any chart-based model, this script has limitations. CCI extremes can persist, and a stretch can remain extended longer than a reversion-focused framework may prefer. In strong continuation phases, what appears to be a mature stretch can still fail to revert meaningfully. The reversion-quality approach is also sensitive to the interaction between volatility, price structure, and trend behavior. Different markets can produce different behavior profiles. A configuration that feels balanced on one asset or timeframe may feel too early or too conservative on another. The structure friction layer is an estimate, not an objective statement of future path quality. The trend pressure component is likewise a contextual model, not a certainty model. The script uses observable chart information to organize conditions, but it does not predict future order flow. Users should also understand that visualization choices are meant to improve readability, not imply certainty. The mean line, reversion zone, state labels, and background highlights are interpretive aids. Risk disclosure This script is provided for chart analysis, research, and workflow support. It does not provide financial, investment, legal, or tax advice. Nothing displayed by the script should be interpreted as a promise of outcome or a guarantee of reversal. All markets involve risk. Mean reversion concepts can fail, continuation can persist, and volatility conditions can change rapidly. Users should apply independent judgment, appropriate risk controls, and broader market context before acting on any chart-based interpretation. The script should be used as one analytical layer among many, not as a self-sufficient decision engine. Summary AG Pro CCI Reversion Quality is a selective mean reversion quality framework built around CCI displacement, EMA-based mean reference logic, distance-to-mean context, trend pressure, and structure friction. Its purpose is not to say that every extreme should fade. Its purpose is to help identify when an extreme begins to organize into a more structured reversion environment. The model is intended for users who want a cleaner, more context-aware interpretation of stretch conditions than a traditional threshold-only oscillator can provide. By separating stretch direction, stretch intensity, reversion quality, and contextual penalties, the script aims to make mean reversion analysis more structured, more transparent, and more selective.

Pine Script® indicator

PD + FVG + Order Blocks + Advanced CISD ICT script with CISD, pd arrays and fvg. to be used to help mark out key areas of interest

Pine Script® indicator

Elite Strategy Strategy Overview: Bmm Liberty - Strategy Elite The Bmm Liberty - Strategy Elite is a professional-grade multi-timeframe (MTF) trend-following strategy designed for traders who prioritize high-confluence entries. By combining volatility-based signal detection with institutional trend filtering across six different timeframes, this strategy aims to capture high-probability swings while avoiding market noise. Core Logic & Methodology The strategy utilizes a layered approach to confirm market direction before executing a trade: Primary Signal (Supertrend Engine): The baseline entry is triggered by a direction change in a fine-tuned Supertrend (2.0, 1) calculation. This identifies immediate momentum shifts. The MTF Filter (The "Elite" Guard): To prevent "fakeouts," the strategy calculates the EMA (default 50-period) trend across six user-defined timeframes (ranging from 1m to Daily). A Long signal is only executed if the primary signal matches a user-defined minimum number of bullish MTF trends (e.g., 3 out of 6 timeframes must be bullish). A Short signal follows the same logic, requiring a majority bearish trend across the selected timeframes. Session & Directional Filters: Traders can restrict the strategy to specific trading windows (London, New York, or Custom) and choose to trade Long-only, Short-only, or both. Key Features Real-Time Data Dashboard: A comprehensive HUD in the bottom-right corner displays real-time metrics, including VWAP bias, RSI (14) levels, MACD trend status, and ATR-based risk values. Multi-Timeframe Heatmap: A dedicated MTF table in the top-right provides a visual "Trend Matrix," showing exactly which timeframes are Bullish, Bearish, or Neutral. Visual Risk Management: Upon entry, the script automatically plots dashed lines and labels for Take Profit 1 (RR1), Take Profit 2 (RR2), and Stop Loss, allowing for clear trade management. JSON-Ready Alert System: Built-in support for webhook automation. It sends a formatted JSON payload containing the License ID, Action, Ticker, Risk Value, and Price—ideal for integration with automated execution bots. Key Inputs Require Multi-TF Majority: Enable this to ensure signals only fire when the broader market trend aligns. Min Bullish/Bearish TFs: Customize how many timeframes must agree before a signal is valid (e.g., set to 5/6 for extreme conservatism). Trading Session: Filter trades to specific high-volume hours to avoid "chop" during the Asian session or bank holidays. EMA Trend Length: Adjust the lookback period for the MTF trend filters. How to Use Configure Timeframes: Set TF 1 through TF 6 to the intervals that matter most for your asset (e.g., Scalping: 1m, 3m, 5m, 15m, 1h, 4h). Define Confluence: Use the "Min counts" input to determine how much agreement you need from the broader market. Automate: Use the JSON alert toggle to connect the strategy to your preferred execution platform via webhooks. Disclaimer: Trading involves significant risk. This script is a technical analysis tool and does not guarantee profits. Past performance is not indicative of future results. Always backtest thoroughly on your specific pair and timeframe before trading live.

Pine Script® strategy

Trend Pro Master Suite Trend Pro Master - Advanced Trend & Target Suite Description: Overview Trend Pro Master is a comprehensive trend-following indicator designed to provide high-precision entry signals and dynamic, pro-active target management. Based on a refined HalfTrend core, it filters market noise to provide a clean, stepped visualization of market momentum, making it suitable for Scalping, Day Trading, and Swing Trading across all asset classes. Core Methodology The indicator utilizes price action pivots and ATR-based offsets to identify trend reversals with minimal lag. Cyan Line/Arrows: Indicate a confirmed Bullish Trend. Red Line/Arrows: Indicate a confirmed Bearish Trend. Key Features 🚀 Pro-Active Take Profit Projections Unlike traditional indicators that show targets after the fact, Trend Pro Master draws horizontal TP1 and TP2 projection lines the instant a signal appears. These lines help traders visualize their exit strategy immediately upon entry. Once a target is hit, the line solidifies and marks the exact hit-bar. 🎯 4 Take Profit Calculation Modes Custom-tailor your targets to your specific strategy: Points: Fixed point distance (ideal for standard pip targets). ATR Multiple: Dynamic targets that expand and contract with market volatility. Risk:Reward: Targets calculated as a multiple of your Stop Loss distance. Indicator Offset: Unique targets based on the current "width" of the trend line. 📊 Dynamic Performance Dashboard A fully customizable, real-time stats table that tracks: Current Trade Status & Entry Price. Total number of signals generated. TP1 Hit count and percentage. Success Rate: Live win-probability calculation based on target hits. Customizable: Change the position (9 different spots) and size (Tiny to Large) to fit your chart layout. 🔔 Professional Push Alerts Integrated alert() function support for high-quality push notifications. Get entry signals and target prices sent directly to your phone or browser in a clear format: Example: "Buy Signal EURUSD (H1) TP1: 1.08550 TP2: 1.09200" Settings Guide Amplitude: Controls the sensitivity. Higher values = smoother trend, fewer signals. Lower values = more sensitive, more signals. Channel Deviation: Adjusts the offset of the trend line from price. Visuals & Styling: Full control over Trend Line thickness, TP Marker colors, and Label sizes. How to Use Entry: Enter a trade when an "Entry" arrow appears. Targets: Aim for TP1 for consistent wins or TP2 for higher reward-to-risk ratios. Exit: Exit the remainder of your position if the trend line changes color (reversal).

Pine Script® indicator

Updated

Edo ZigZag Auto Fib SR Edo ZigZag Auto Fib SR is a structural analysis indicator designed to automatically identify the most relevant market swings and project Fibonacci retracement levels over them as dynamic support and resistance zones. It combines zigzag-based structural reading with automatic Fibonacci projection, delivering in a single indicator both market context and key price levels, without any manual drawing required. The result is a clean, readable chart that shows exactly where the market has moved, how far it has retraced, and what the key levels are at any given moment. What the indicator does Most traders draw Fibonacci retracements manually. They identify a swing high and a swing low, apply the Fibonacci tool, and read the levels. This process works but requires constant updating every time the market forms a new significant swing. Edo ZigZag Auto Fib SR automates this entirely. The indicator detects the relevant pivots automatically, connects them to form the zigzag structure, and immediately projects the Fibonacci levels over the active swing. Every time a new pivot is confirmed, the levels update without any manual intervention. The result is always an up-to-date Fibonacci projection anchored to the most recent confirmed market structure. How the ZigZag works The indicator detects market pivots using Pine Script native pivot detection. A point is confirmed as a pivot only when it is the highest or lowest price within a defined range of candles on both sides. This means the indicator does not repaint. Pivots are confirmed with a delay equal to the Pivot Depth value, but once confirmed they are permanent. This makes the structural reading reliable and consistent across all timeframes. Confirmed pivots are connected with lines alternating between highs and lows, forming the characteristic zigzag structure that clearly maps the sequence of market moves. Fibonacci projection The Fibonacci levels are automatically projected over the last confirmed swing. The 0.000 level marks the origin of the swing and the 1.000 level marks the extreme. All retracement levels are calculated between them and update automatically each time a new pivot is confirmed. Available levels: 0.000 · 0.236 · 0.382 · 0.500 · 0.618 · 0.786 · 0.886 · 1.000 Extension levels available but disabled by default: 1.272 · 1.618 Each level displays its numerical value and the exact corresponding price to the right of the chart, making it immediately readable without hovering or calculating manually. Levels from previous confirmed swings remain visible with increased transparency, providing historical context without interfering with the active swing. Structural labels Each confirmed pivot is automatically labeled with its structural type: · HH (Higher High) — bullish structure, new high above the previous · HL (Higher Low) — bullish continuation, new low above the previous · LH (Lower High) — bearish structure, new high below the previous · LL (Lower Low) — bearish continuation, new low below the previous Each label also shows the exact price of the pivot, allowing immediate reading of the market structure sequence without additional analysis. S/R marks At each confirmed pivot, the indicator draws a short horizontal line marking the pivot price level. Red lines mark resistance levels at confirmed highs. Green lines mark support levels at confirmed lows. These lines are thicker than the Fibonacci dashed lines to create a clear visual hierarchy. Their fixed length avoids extending across the entire chart, keeping the visual clean and focused. Percentage move At the geometric center of each zigzag segment, the indicator displays the percentage movement between the two pivots that form it. Bullish segments show the percentage in bullish color. Bearish segments show it in bearish color. This allows immediate comparison of impulse and correction magnitudes across the chart without manual calculation. Structure lines The indicator connects confirmed highs with each other and confirmed lows with each other through separate dotted lines. The highs connector runs in bullish color. The lows connector runs in bearish color. This creates two dynamic structural channels that show at a glance whether highs are rising or falling and whether lows are rising or falling, independently of the zigzag direction. Summary table A configurable table displays three key real-time data points from the last analyzed swing: · Direction — current market direction based on the last confirmed pivot (▲ BULLISH / ▼ BEARISH) · Last Pivot — type of the last confirmed pivot (HH / HL / LH / LL) · Last Swing — percentage move of the last completed swing segment Table position is configurable: Top Right (default), Top Left, Bottom Right, Bottom Left. Sensitivity profiles Users can choose between three predefined profiles that automatically adjust the internal pivot detection depth: · Scalper — higher sensitivity, suited for lower timeframes (1m, 5m, 15m). Detects small and frequent swings. · Swing — balanced configuration, recommended for Daily and 4H. Default profile. · Long Term — major swings only, designed for Weekly and Monthly. Filters short-term noise. The profile system simplifies configuration and avoids the need to manually tune internal parameters. Alerts The indicator includes four configurable alerts that trigger at candle close to avoid intrabar false activations: · New HH — confirmed Higher High · New HL — confirmed Higher Low · New LH — confirmed Lower High · New LL — confirmed Lower Low To configure alerts, right-click on the indicator name on the chart and select Add alert. Open source Edo ZigZag Auto Fib SR is released as an open source indicator. The script can be studied, modified or extended directly within TradingView if users wish to adapt it to their own workflow. The default configuration is already optimized for immediate use across multiple timeframes and asset classes. Important This indicator is a technical analysis tool. It does not generate automatic buy or sell signals and should not be considered financial advice. It should always be used within a broader trading framework that includes proper risk management.

Pine Script® indicator

by EdoLab-Markets

EMA PRO Swing Structure Entry 🔹 Title EMA PRO Swing Structure Entry 🔹 Description This indicator combines multi-EMA trend alignment with swing structure break logic to identify potential continuation entries in trending markets. The core idea is to approximate how discretionary traders identify entries based on Higher Lows / Lower Highs followed by a break of structure (BOS) — but in a systematic and repeatable way. 🔹 How it works The indicator operates in three layers: 1. Trend Filter (EMA Alignment) The trend is defined using up to three Exponential Moving Averages: Fast EMA (momentum) Mid EMA (trend) Slow EMA (higher timeframe bias) Bullish trend: EMA1 > EMA2 > EMA3 Bearish trend: EMA1 < EMA2 < EMA3 Users can enable or disable individual EMAs to adapt the model. 2. Swing Structure Detection The script identifies swing highs and lows using a configurable pivot strength. This allows the indicator to detect: Higher Lows (HL) Lower Highs (LH) These structures represent pullbacks within a trend. 3. Break of Structure (Entry Signal) A signal is generated only when price: Forms a valid pullback (HL or LH) Then breaks the most recent swing level This creates a confirmation-based continuation entry, rather than reacting to noise or micro fluctuations. 🔹 Key Features EMA-based trend filtering (2 or 3 EMA configurations) Swing structure logic (HL / LH detection) Break of Structure (BOS) confirmation entries Clean label-based signals (no clutter) Customizable visual styling (colors and label size) 🔹 How to use This indicator is best suited for: 1H timeframe and above Trending markets Swing and intraday continuation strategies Typical workflow: Identify trend using EMA alignment Wait for a pullback Use the signal as confirmation of structure break 🔹 Notes Signals are confirmation-based, not predictive Performance depends on market conditions (trend vs ranging) Users are encouraged to combine with additional analysis (support/resistance, HTF context, etc.) 🔹 Disclaimer This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results.

Pine Script® indicator

by Aleksin_Aleksandar

Updated

Delta Volume X-Ray [CLEVER]🔷 Introduction Delta Volume X-Ray is a multi-layered volume and momentum analysis indicator designed to provide a structured interpretation of market participation. It focuses on evaluating how price movement is supported by volume activity and how that relationship evolves over time. Instead of relying on a single signal type, the indicator integrates delta-style pressure estimation, smoothed momentum analysis, divergence detection, volume expansion recognition, absorption identification, structural pivot mapping, and confluence scoring into one unified analytical framework. The objective of this tool is to enhance clarity in reading market behavior by translating raw price and volume data into structured visual insights. 📊 Core Analytical Philosophy The foundation of Delta Volume X-Ray is based on the principle that volume alone does not provide sufficient insight unless interpreted in relation to price structure. Similarly, price movement without participation context may lack depth. This indicator attempts to bridge that gap by combining candle anatomy (body vs. range), participation intensity (volume), and momentum dynamics into a cohesive system. Rather than generating isolated buy/sell markers, the indicator emphasizes confluence. When multiple analytical components align, the environment may carry greater contextual weight. ⚙ How It Works – Internal Calculation Logic The system begins by analyzing each candle’s structure. It measures the candle body relative to its total range and evaluates how much of that movement is supported by volume. This process produces a delta-style approximation of directional pressure. These raw pressure values are then processed through smoothing functions to reduce short-term noise. The smoothed delta becomes the foundation for further momentum and strength evaluation. An RSI-style calculation is applied to the delta data instead of price. This allows the system to measure the strength and sustainability of participation pressure rather than simply price oscillation. In parallel, the indicator continuously evaluates abnormal volume expansion, price inefficiencies, and structural pivot formation. All relevant conditions are assessed within a scoring framework that classifies the current analytical state. 📈 Delta Pressure Estimation Engine The delta engine estimates whether buyers or sellers are exerting relatively stronger pressure within each candle. A large bullish body supported by increased volume suggests stronger upward participation. Conversely, a large bearish body supported by volume suggests stronger downward pressure. When volume increases but directional displacement weakens, the system identifies that imbalance as potential absorption. This layered interpretation moves beyond simple volume bars and attempts to quantify participation quality. 🔥 Volume Climax Recognition The indicator compares current volume against a smoothed moving average baseline. When volume exceeds a defined multiplier threshold, it triggers a Volume Climax condition. This condition highlights periods of expanded activity, which may represent acceleration, breakout attempts, or exhaustion phases depending on structure and context. The system does not assume outcome direction from volume alone. Instead, climax signals are designed to highlight areas where market participation deviates significantly from its recent norm. 🧲 High Volume Absorption Detection High Volume Absorption is identified when elevated participation occurs alongside relatively limited price displacement. This condition may suggest that opposing liquidity is absorbing aggressive order flow. Absorption can sometimes precede continuation (when accumulation/distribution completes) or reversal (when dominant pressure weakens). Interpretation depends on surrounding structure and additional confluence signals. 🔄 Divergence Detection Framework The divergence engine operates using confirmed pivot logic. It compares price structure to delta structure: If price forms a higher high but delta forms a lower high, a bearish divergence is identified. If price forms a lower low but delta forms a higher low, a bullish divergence is identified. Signals appear only after pivot confirmation, which prevents repainting behavior. Divergence highlights potential weakening of directional participation rather than predicting reversal certainty. 🎯 DVX Confluence Scoring Model The DVX Score aggregates multiple internal conditions into a unified classification system. These include: Directional delta strength Delta momentum state Divergence presence Volume expansion behavior Absorption signals Structural positioning The final classification is displayed as: EXTREME BUY STRONG BUY NEUTRAL STRONG SELL EXTREME SELL These labels reflect the relative intensity of aligned conditions. They are analytical representations—not predictive guarantees. 📍 Structural Zone Mapping The indicator identifies swing highs and swing lows through pivot detection. These levels are plotted as structural zones on the chart. Such zones act as contextual reference points where price has previously reacted. When delta behavior, absorption signals, or divergence occur near these zones, the structural context may enhance interpretative clarity. 🚨 Alert System Architecture The alert system is designed for flexibility and precision. Users can enable alerts for: High Volume Absorption Volume Climax Bullish Divergence Bearish Divergence DVX Buy Confirmation DVX Sell Confirmation Alerts operate once per confirmed bar to reduce unnecessary repetition. This structure allows traders to integrate the indicator into their workflow without excessive notification noise. 🎨 Visual & Interface Design The visual layout prioritizes clarity and structured interpretation. Delta values are color-coded to distinguish directional pressure. Momentum transitions are visually distinguishable. Score classifications are displayed clearly to summarize overall condition strength. Structural zones are plotted directly on the chart to provide contextual awareness. The interface is designed to reduce cognitive overload while maintaining informational depth. ⚙ Settings & Customization Delta Volume X-Ray includes adjustable parameters to adapt to various trading styles and timeframes. Users can modify: RSI length to adjust momentum sensitivity Smoothing period to control delta noise Volume multiplier to tune climax detection sensitivity Pivot sensitivity to adjust divergence responsiveness Alert toggles to customize notification behavior Visual display options to control chart appearance This flexibility allows the indicator to be calibrated for scalping, intraday analysis, or swing-based structure evaluation. 📌 How to Use Effectively The indicator is most effective when used as a confluence tool rather than as a standalone trigger. For example, when a strong DVX classification aligns with divergence and occurs near a structural zone, the analytical weight of that setup may increase. Lower timeframes may emphasize momentum shifts and absorption signals, while higher timeframes may highlight structural positioning and broader participation trends. Traders are encouraged to combine the indicator with independent analysis and proper risk management practices. 🛡 Non-Repainting Behavior The indicator does not use future data or lookahead logic. Divergence signals appear only after pivot confirmation. Historical values are not modified retroactively. Real-time calculations may update during candle formation, but closed bars remain stable. This ensures transparency in how signals develop and appear on the chart. Usage Guidelines 1.Apply on any timeframe to monitor delta-based buying/selling pressure. 2.Wait for confirmation of signals, especially absorption or climax zones. 3.Use dashboard and speedometer scoring to determine market bias. 4.Combine with personal risk management and price action analysis for higher probability trades. 5.Alerts help monitor multiple instruments without constantly watching charts. HUD Dashboard (Compact Overview) Shows real-time delta, cumulative delta, buy/sell %, volume ratios, OBV, CMF, VW-RSI, RSI, VWAP deviation, net delta, streaks, squeeze status, absorption, exhaustion, divergence, MACD signals, and speedometer score. Designed for a quick glance assessment of market structure and current pressure. Fully customizable location: Top Right, Top Left, Bottom Right, Bottom Left. Buy/Sell Signal Engine Uses EMA cross and delta scoring to generate buy/sell signals directly on the chart. Includes an optional EMA cloud for visual trend confirmation. Signals take into account speedometer score, delta streaks, and momentum oscillators for higher accuracy. Visual Features Delta Bars & SMA Lines Delta bars are colored by bullish/bearish pressure with gradient shading for stronger confirmation. Delta SMA lines (5 and 20 periods) overlay the delta pane as trend guidance. Delta Momentum Oscillator Optional MACD-style overlay on delta shows momentum and divergence. Histogram colors indicate strengthening or weakening delta momentum. Smart Money Zones Absorption Zones: High volume + small candle body indicates institutional absorption. Climax Signals: Extremely high volume candles marking potential trend exhaustion. Exhaustion Signals: Bullish or bearish reversal signals after climax volume. Volume Squeeze: Identifies volume contraction before expansion, signaling potential breakout. ⚠ Disclaimer Delta Volume X-Ray is designed strictly for educational and analytical purposes. It does not provide financial advice and does not guarantee specific outcomes. Trading involves substantial risk, and users should perform independent research and apply appropriate risk management strategies. Signals generated by this indicator should be interpreted within a broader analytical framework. 🟢 Comprehensive Summary Delta Volume X-Ray is a structured analytical system that integrates participation analysis, momentum evaluation, divergence detection, absorption recognition, structural mapping, and confluence scoring into a unified visualization tool. By combining price structure and volume dynamics, it aims to provide a clearer representation of market behavior and participation intensity. Its strength lies not in isolated signals, but in layered alignment and contextual interpretation.

Pine Script® indicator

by TheCleverTraders

Trend State [DAFE]Trend State A State-Driven Confidence Trend Engine Where Trend is Assessed as a Matter of Confidence, Not as a Binary Switch. The Trend State engine is a systematic approach to trend analysis designed to address the fundamental limitations of traditional, binary-state indicators. Its core premise is that a market trend is not an "on/off" condition but a dynamic state that builds, sustains, and loses confidence over time. Instead of relying on a single price crossover, this engine operates like a jury, continuously gathering and weighing multiple forms of evidence to determine the true state of the market. This results in a more nuanced, context-aware model that provides deeper insight into trend health, sustainability, and structural integrity. The Problem with Binary-State Trend Indicators Traditional indicators like a standard Supertrend operate on a binary, stateless model. A trend is either "up" or "down," and the switch is triggered by a single event: price closing across a calculated line. This model, while simple, suffers from critical drawbacks: Lack of Memory: It has no concept of how strong the previous trend was. A powerful, multi-month bull run is treated with the same fragility as a weak, two-day rally. Both can be negated by a single bar's close. Susceptibility to Whipsaws: Because the logic is binary, any volatile price action around the trendline can trigger a rapid succession of "buy" and "sell" signals, leading to over-trading in choppy or transitional markets. No Concept of Neutrality: The market is forced into a bullish or bearish classification at all times. It lacks a "gray area" or a state of indecision, which is where many binary systems fail. No Context of Trend Health: It cannot differentiate between a healthy, accelerating trend and one that is structurally compromised and likely to fail. The Trend State Solution: A Multi-Pillar Confidence Model The Trend State engine solves these issues through its proprietary architecture. Pillar 1: The Rolling Evidence Matrix This is the core of the engine. Instead of a single condition, the system maintains ten "evidence buckets"—five for bullish evidence and five for bearish. On every bar, new evidence is added to these buckets based on specific market behaviors. Simultaneously, the old evidence in every bucket is subject to a time-based decay , ensuring that recent events carry more weight than older ones. The five categories of evidence collected are: Impulse: Strong, directional thrust bars with high volume and a close near the highs/lows. Represents aggressive participation. Structure: The breaking of recent swing highs/lows, or the reclamation of those levels after a failed break. Represents technical progress. Exhaustion: Reversal pressure, identified through significant rejection wicks or volume divergences. Represents the failure of the opposing side. Continuation: Quiet persistence, such as price continuing to close higher/lower while respecting the underlying price anchor. Represents sustained momentum. Compression: A decrease in range and volatility, suggesting a buildup of energy for the next directional move. Each category has a user-defined weight , allowing for fine-tuning of the engine's sensitivity to different market behaviors. The sum of this weighted evidence creates the final Bull and Bear Confidence Scores . Pillar 2: The 3-State Engine (Bull / Transition / Bear) Based on the confidence scores, the engine operates in one of three states: Bull State (1): Bullish evidence is dominant, substantial, and actively holding above key thresholds. Bear State (-1): Bearish evidence is dominant, substantial, and actively holding above key thresholds. Transition State (0): Neither side has sufficient confidence, or the dominant side is losing its grip. This is the critical "gray area" where binary indicators produce whipsaws. The Trend State engine identifies this as a period of indecision or a potential turning point. Pillar 3: The Damage Detection Layer This is a crucial innovation that provides context on trend health. If a trend is in an active Bull or Bear state, this layer continuously scans for signs of structural compromise (e.g., price crossing below the anchor, strong opposing impulse bars, high opposing pressure). If enough "damage" accumulates, the trend is flagged as Damaged . A damaged state has critical consequences: Accelerated Deterioration: The confidence score of the current trend decays faster. Reduced Impulse: New evidence in favor of the damaged trend has less impact. Increased Fragility: The thresholds required to flip the trend into a Transition state are lowered, making it easier for the compromised trend to fail. Pillar 4: Optional Footprint Enhancement For maximum fidelity, the engine can integrate real order flow data from footprint charts. This enhances the evidence-gathering process by confirming price action with volume. For example, a bullish impulse bar is given a significantly higher score if it is accompanied by strong, positive delta, confirming aggressive market buying. A METHODOLOGICAL COMPARISON: Standard Supertrend vs. Trend State Engine To understand the architectural difference, consider this side-by-side comparison: 🔧 COMPREHENSIVE INPUT SYSTEM Core Engine Anchor Length: The EMA period for the central price anchor, which acts as the gravitational baseline for the system. Base Width Multiplier: The master ATR multiplier for the trail distance. Bucket Decay: The per-bar decay rate (0.50-0.99) for all evidence buckets. A lower value gives the system a shorter memory, while a higher value allows it to "remember" evidence for longer. Bucket Weights Granular control to assign a weight to each of the five evidence categories ( Impulse, Structure, Exhaustion, Continuation, Compression ). This allows you to calibrate the engine's personality—for example, making it more sensitive to structural breaks than to impulse moves. State Engine Enter Net Threshold: The minimum net confidence score (Bull Score - Bear Score) required to shift from the Transition state into a confirmed Bull or Bear state. Hold Net Threshold: While in an active Bull/Bear state, if the net confidence falls below this value, the trend is considered lost, and the engine returns to the Transition state. Dominance Threshold: A ratio (Net / Total) that ensures a true trend is established, not just a slight edge in a low-activity market. Damage Layer Enable Damage Detection: Toggles the entire damage analysis module. Damage Score Threshold: The cumulative damage score required to flag a trend as "Damaged." Decay Multiplier, Impulse Retention, Threshold Ease: A suite of inputs to control exactly how a "Damaged" state affects the system's behavior, allowing for fine-tuning of its risk-off response. 🎨 ADVANCED VISUAL SYSTEM The Trend State engine leverages the DafeVisLib library to provide a clean, professional, and highly informative visual experience. The Main Trend Line: The line's color instantly communicates the current state: Bullish, Bearish, or Transition. Crucially, it will adopt a distinct "alert" color when the active trend is flagged as Damaged . State Markers: Clear labels appear on the chart to mark the exact bar where the state shifts to Bull (▲), Bear (▼), or Transition (◆). Damage Markers: An alert symbol (!) appears above/below the bar when the Damage Threshold is breached, providing an un-missable visual warning of trend deterioration. The Cloud: The area between the trend line and the price anchor is shaded, creating a dynamic cloud that provides a clear visual representation of the trend's strength and control. 📊 GAUGE DASHBOARD & NARRATIVE PANEL The indicator includes two advanced UI elements for at-a-glance analysis. The Gauge Dashboard This panel provides a complete quantitative breakdown of the engine's internal state, featuring: State Info: Displays the current state, Footprint status, and live Delta. Confidence Engine Gauges: Real-time gauges visualizing the raw Bull, Bear, and Net Confidence scores. Pressure Kinetics Gauges: Displays the Dominance and Pressure ratios, showing which side is in control of the market auction. Damage Layer Gauges: Shows the current Damage Status (Intact/Damaged) and the live scores being accumulated against the active trend. Evidence Bucket Breakdowns: Individual gauges for all 10 evidence buckets, allowing you to see exactly what kind of evidence is driving the current market move. The Narrative Panel This unique panel provides a qualitative, human-readable summary of the complex quantitative data from the engine. It translates the numbers into a clear story, with simple statements describing the current Regime , Kinetics , Structure , and Order Flow . ⚖️ RESPONSIBLE USAGE This is a Decision-Support System: The Trend State engine is designed to provide a deep, contextual understanding of trend health. It is not a black-box signal generator. Its outputs should be used to inform and enhance a pre-existing trading plan. Context is Key: A "Bull State" confirmation is a statement about trend confidence, not a guarantee of future price movement. Always consider the broader market context. Calibration is Recommended: The default weights and thresholds are robustly balanced, but the true power of the engine is unlocked by calibrating these settings to the specific personality of the asset and timeframe you are trading. 🔮 CONCLUSION The Trend State engine represents a significant evolution in trend analysis. By moving away from a simple, binary model and adopting a multi-faceted, evidence-based confidence system, it offers a more robust and realistic interpretation of market dynamics. Its ability to quantify trend health through its Damage Layer and to recognize periods of indecision with its Transition State provides traders with critical context that traditional indicators simply cannot see. This is a tool for traders who wish to understand not just the direction of a trend, but its quality, sustainability, and structural integrity. — Dskyz, Trade with insight. Trade with anticipation. (Funny how innovation suddenly shows up everywhere once you build something real. This is a Rolling Confidence Matrix , foundation level work, not copied code, not recycled concepts, and not the same thing with a new paint job.)

Pine Script® indicator

by DskyzInvestments

BreakPulse [Abusuhil]══════════════════════════════════════════════════════════════ BreakPulse — TradingView Description ══════════════════════════════════════════════════════════════ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ENGLISH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ OVERVIEW BreakPulse is a real-time breakout environment quality engine designed to help traders distinguish between real and fake breakouts — regardless of the breakout type being traded (trendline, support/resistance, moving average, chart pattern, etc.). Unlike traditional breakout detectors, BreakPulse does NOT draw levels, detect breakouts, or generate buy/sell signals. Instead, it evaluates the current market environment and answers one critical question: "Is the market currently in a state that supports a REAL breakout, or is this likely a fakeout?" The trader identifies the breakout. BreakPulse tells them whether the environment supports it. █ HOW IT WORKS BreakPulse evaluates the market through 5 independent axes, each measuring a different dimension of breakout quality: ▸ Momentum — Energy acceleration and directional thrust (RSI direction, ROC, MACD histogram expansion) ▸ Candle Structure — Bar quality, body ratio, close position, rejection wicks (averaged over multiple candles) ▸ Price Acceptance — Post-impulse behavior: is price holding at new levels or getting rejected? ▸ Market Regime — Trending vs ranging environment (ADX, ATR expansion, MA slope) ▸ Volume & Effort — Volume participation and effort-vs-result consistency Each axis produces separate Bull and Bear scores. The composite Quality Score (0–100) represents overall environment fitness, while the Directional Bias shows who is currently in control. █ THE 4-LAYER SIGNAL SYSTEM BreakPulse provides 4 layers of information, ordered from fastest to slowest: ① CANDLE COLORING (Instant — zero delay) Every candle is colored based on the RAW quality score with no smoothing applied. Green = strong environment, Yellow = moderate, Red = weak. This gives immediate visual feedback on every single bar. ② POWER SHIFT (Earliest reversal detection) An independent system that detects the moment of control transfer between bulls and bears. It uses 5 sub-detectors: • Divergence — RSI diverges from price (signals building before the move) • Delta Flip — Bull/Bear score ratio flips sharply in one candle • Absorption — High volume + small price movement followed by a reversal candle (smart money footprint) • Streak Break — First strong opposite candle after 3+ consecutive same-direction candles • Micro Structure Break — Price breaks its micro swing structure (higher high after lower highs, or vice versa) A Power Shift signal fires when 2 or more sub-detectors agree simultaneously. A single sub-detector shows as a subtle hint dot. ③ SHIFT MARKERS (Early quality jump) Triangular markers that appear when the raw quality score jumps sharply in a single candle, indicating the beginning of an environmental shift. ④ CLOUD (Context — smoothed confirmation) A cloud envelope around price that reflects the overall smoothed status: • 🟢 Green = TRUE — Environment fully supports breakouts • 🔵 Blue = BUILDING — Accelerating improvement, early opportunity • 🟡 Yellow = CAUTION — Mixed conditions • 🔴 Red = FALSE — Weak environment, high fakeout risk █ ADAPTIVE FEATURES ▸ Timeframe Adaptation — Automatically adjusts sensitivity thresholds based on chart timeframe. Lower timeframes require stronger readings to confirm (reducing noise), while higher timeframes use relaxed thresholds (signals are inherently more reliable). Can be set to Auto or Manual. ▸ Spike / Climax Detection — Identifies abnormally large candles that produce falsely strong readings but often precede reversals. When detected, the quality score is penalized and a warning is displayed. ▸ Bilingual Dashboard — Full interpretive dashboard in English, Arabic, or both. Shows quality score, direction, status of each axis with visual bars, and a text summary explaining current conditions. █ TRADE EXAMPLE — How to use BreakPulse in practice Scenario: You are watching a descending trendline on the 1H chart and waiting for a bullish breakout. Step 1 — PREPARATION Price approaches the trendline. You observe the candle colors: they are still red/orange (weak environment). You wait — no entry yet. Step 2 — EARLY SIGNAL (Power Shift) A purple diamond ⚡PWR appears below a candle near the trendline. The dashboard shows "Power Shift ▲ Divergence + StreakBreak". This means RSI was diverging AND the first strong bullish candle appeared after a bearish streak. The environment quality is still low, but the CONTROL is shifting. This is the earliest possible entry — with a tight stop below the recent low. Step 3 — CONFIRMATION (SHIFT + BUILDING) Over the next 1–2 candles, a blue SHIFT triangle appears (quality jumped sharply). Candles turn yellow → green. The cloud begins transitioning to blue (BUILDING). You can add to your position. Step 4 — FULL CONFIRMATION (TRUE) The cloud turns green (TRUE), the dashboard shows Quality 75+ with most axes green. The breakout is confirmed. You hold or add a final portion. Step 5 — EXIT AWARENESS If at any point a 🔺 SPIKE warning appears, or candles turn back to red, or a Power Shift ▼ fires in the opposite direction — these are signals to tighten your stop or exit. Important: BreakPulse does NOT tell you WHERE to enter. You decide the level (trendline, S/R, MA). BreakPulse tells you WHETHER the current environment supports that breakout being real. █ SETTINGS All parameters are fully customizable: • Axis weights (adjust priority of each dimension) • Lookback periods for all calculations • Timeframe adaptation (Auto/Manual/Disabled) • Power Shift sensitivity and lookback • SHIFT jump threshold • Spike detection thresholds • Cloud width, transparency, and MA period • Dashboard position, size (5 levels: Tiny to Huge), and language • Each signal layer can be independently enabled/disabled █ IMPORTANT NOTES • This indicator does NOT repaint. All calculations use confirmed bar data only. No request.security() or lookahead is used. • This is NOT a strategy and does NOT generate buy/sell signals. It is an environment quality filter designed to be used alongside your own trading methodology. • No indicator can guarantee profitable trades. Always use proper risk management, position sizing, and stop losses. • Past performance of any signal or pattern does not guarantee future results. • This tool is for educational and informational purposes only. It does not constitute financial advice. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ العربية ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ نظرة عامة BreakPulse هو محرك تقييم لحظي لجودة بيئة الاختراق، مصمم لمساعدة المتداولين على التمييز بين الاختراقات الحقيقية والوهمية — بغض النظر عن نوع الاختراق المُراقب (ترند، دعم/مقاومة، متوسط متحرك، نموذج سعري، إلخ). على عكس مؤشرات الاختراق التقليدية، BreakPulse لا يرسم مستويات، ولا يكتشف اختراقات، ولا يعطي إشارات شراء أو بيع. بل يُقيّم بيئة السوق الحالية ويجيب على سؤال واحد: "هل السوق حالياً في وضع يدعم اختراقاً حقيقياً، أم أن هذا غالباً اختراق وهمي؟" المتداول يحدد مكان الاختراق. BreakPulse يخبره هل البيئة تدعمه أم لا. █ كيف يعمل يُقيّم BreakPulse السوق من خلال 5 محاور مستقلة، كل محور يقيس بُعداً مختلفاً من جودة الاختراق: ▸ الزخم — تسارع الطاقة واتجاه الدفع (اتجاه RSI، معدل التغير، توسع MACD) ▸ البنية السعرية — جودة الشموع، نسبة الجسم، موقع الإغلاق، ظلال الرفض (متوسط عدة شموع) ▸ القبول السعري — سلوك ما بعد الاندفاع: هل السعر يثبت عند المستويات الجديدة أم يُرفض؟ ▸ حالة السوق — بيئة اتجاهية أم عرضية (ADX، توسع ATR، ميل المتوسط) ▸ الحجم والجهد — مشاركة الحجم وتناسب الجهد مع النتيجة كل محور يُنتج درجات Bull و Bear منفصلة. درجة الجودة المركّبة (0-100) تعكس صلاحية البيئة العامة، بينما الانحياز الاتجاهي يُظهر من المسيطر حالياً. █ نظام الطبقات الأربع يوفر BreakPulse 4 طبقات من المعلومات، مرتبة من الأسرع للأبطأ: ① تلوين الشموع (فوري — صفر تأخير) كل شمعة تتلوّن حسب درجة الجودة الخام بدون أي تنعيم. أخضر = بيئة قوية، أصفر = متوسطة، أحمر = ضعيفة. هذا يعطي قراءة بصرية فورية على كل شمعة. ② Power Shift — انتقال السيطرة (أبكر كشف للانعكاس) نظام مستقل يكشف لحظة انتقال السيطرة بين الثيران والدببة. يستخدم 5 كاشفات فرعية: • التباعد (Divergence) — RSI يتباعد عن السعر (إشارة تمهيدية قبل الحركة) • انقلاب القوى (Delta Flip) — نسبة Bull/Bear تنقلب بشكل حاد في شمعة واحدة • الامتصاص (Absorption) — حجم مرتفع + حركة صغيرة ثم شمعة انعكاسية (بصمة الأموال الذكية) • كسر السلسلة (Streak Break) — أول شمعة قوية معاكسة بعد 3+ شموع متتالية بنفس الاتجاه • كسر الهيكل المصغّر (Micro Structure Break) — كسر هيكل القمم/القيعان المصغّر تظهر إشارة Power Shift عندما يتفق كاشفان أو أكثر في وقت واحد. كاشف واحد يظهر كنقطة تلميحية خفيفة. ③ علامات SHIFT (قفزة جودة مبكرة) مثلثات تظهر عندما تقفز درجة الجودة الخام بشكل حاد في شمعة واحدة، مما يشير لبداية تحوّل في البيئة. ④ السحابة (السياق العام — تأكيد مُنعّم) سحابة تُحيط بالسعر تعكس الحالة العامة المُنعّمة: • 🟢 أخضر = TRUE — البيئة تدعم الاختراقات بالكامل • 🔵 أزرق = BUILDING — تحسّن متسارع، فرصة مبكرة • 🟡 أصفر = CAUTION — ظروف مختلطة • 🔴 أحمر = FALSE — بيئة ضعيفة، خطر اختراق وهمي مرتفع █ الميزات التكيّفية ▸ تكيّف الفريم — يُعدّل الحساسية تلقائياً حسب الفريم الزمني. الفريمات الصغيرة تحتاج قراءات أقوى للتأكيد (تقليل الضوضاء)، بينما الفريمات الكبيرة تستخدم عتبات مخففة (الإشارات أكثر موثوقية بطبيعتها). يمكن ضبطه على تلقائي أو يدوي. ▸ كشف الشموع العملاقة — يُحدد الشموع الكبيرة بشكل غير طبيعي التي تُنتج قراءات قوية كاذبة لكنها غالباً تسبق انعكاسات. عند اكتشافها، يتم تخفيض درجة الجودة وعرض تحذير. ▸ داشبورد ثنائي اللغة — لوحة تفسيرية كاملة بالإنجليزية أو العربية أو كلتيهما. تعرض درجة الجودة، الاتجاه، حالة كل محور مع أشرطة بصرية، وخلاصة نصية تشرح الوضع الحالي. █ مثال عملي — كيف تستخدم BreakPulse في صفقة حقيقية السيناريو: أنت تراقب ترند هابط على فريم الساعة وتنتظر اختراقه صعوداً. الخطوة 1 — التحضير السعر يقترب من الترند. تُراقب ألوان الشموع: لا تزال حمراء/برتقالية (بيئة ضعيفة). تنتظر — لا دخول بعد. الخطوة 2 — الإشارة المبكرة (Power Shift) ماسة بنفسجية ⚡PWR تظهر تحت شمعة قرب الترند. الداشبورد يعرض "Power Shift ▲ Divergence + StreakBreak". هذا يعني أن RSI كان يتباعد وأن أول شمعة صاعدة قوية ظهرت بعد سلسلة هابطة. جودة البيئة لا تزال منخفضة، لكن السيطرة تنتقل. هذه أبكر نقطة دخول ممكنة — مع ستوب محكم تحت آخر قاع. الخطوة 3 — التأكيد (SHIFT + BUILDING) خلال الشمعة أو الشمعتين التاليتين، يظهر مثلث SHIFT أزرق (الجودة قفزت بشكل حاد). الشموع تتحوّل من أصفر إلى أخضر. السحابة تبدأ بالتحوّل للأزرق (BUILDING). يمكنك تعزيز صفقتك. الخطوة 4 — التأكيد الكامل (TRUE) السحابة تتحوّل للأخضر (TRUE)، الداشبورد يعرض جودة 75+ مع أغلب المحاور خضراء. الاختراق مؤكد. ابقَ في الصفقة أو أضف جزءاً أخيراً. الخطوة 5 — الوعي بالخروج إذا ظهر تحذير 🔺 SPIKE في أي لحظة، أو عادت الشموع للأحمر، أو ظهر Power Shift ▼ بالاتجاه المعاكس — هذه إشارات لتضييق الستوب أو الخروج. مهم: BreakPulse لا يُخبرك أين تدخل. أنت تُحدد المستوى (ترند، دعم/مقاومة، متوسط). BreakPulse يُخبرك هل البيئة الحالية تدعم نجاح هذا الاختراق. █ الإعدادات جميع المعايير قابلة للتخصيص بالكامل: • أوزان المحاور (تعديل أولوية كل بُعد) • فترات الحساب لجميع العمليات • تكيّف الفريم (تلقائي / يدوي / معطّل) • حساسية Power Shift وفترة المراجعة • عتبة قفزة SHIFT • عتبات كشف الشموع العملاقة • عرض السحابة وشفافيتها وفترة المتوسط • موقع الداشبورد وحجمه (5 مستويات) واللغة • كل طبقة إشارة يمكن تفعيلها/تعطيلها بشكل مستقل █ ملاحظات مهمة • هذا المؤشر لا يُعيد الرسم. جميع الحسابات تستخدم بيانات شموع مؤكدة فقط. لا يُستخدم request.security() أو lookahead. • هذا ليس استراتيجية ولا يُولّد إشارات شراء أو بيع. هو فلتر جودة بيئة مصمم للاستخدام بجانب منهجية التداول الخاصة بك. • لا يوجد مؤشر يضمن صفقات رابحة. استخدم دائماً إدارة مخاطر صحيحة، وحجم مركز مناسب، ووقف خسارة. • الأداء السابق لأي إشارة أو نمط لا يضمن نتائج مستقبلية. • هذه الأداة لأغراض تعليمية ومعلوماتية فقط. لا تُشكّل نصيحة مالية.

Pine Script® indicator

[ A L P H A X ] Elliott Wave Detection & Fibonacci Golden Zone AlphaX Wave – Elliott Wave Detection, Fibonacci Golden Zone Mapping, Multi-Confluence Scoring & Smart SL/TP System AlphaX Wave is a professional-grade Elliott Wave analysis and trade signal system built on a proprietary multi-engine architecture that fuses automated wave counting, Fibonacci golden zone projection, multi-factor momentum scoring, and structure-based stop loss and target placement into a single cohesive tool. It identifies impulse wave patterns (waves 1–5), detects corrective ABC structures, projects Fibonacci retracement zones, scores trade setups across eight independent confluence factors, and generates graded entry signals with intelligent SL/TP levels derived from swing structure, Fibonacci levels, and wave projections. Designed for traders who use Elliott Wave theory as their primary framework on instruments like XAUUSD, indices, forex majors, and crypto. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Wave Engine — How It Works At the core of AlphaX Wave is an automated Elliott Wave detection algorithm that identifies the classical 5-wave impulse structure and 3-wave corrective patterns in real-time. Unlike manual wave counting, this engine applies strict mathematical validation rules derived from Elliott Wave theory to ensure only structurally valid patterns are labeled. Impulse Wave Detection (Waves 1–5) The engine uses a rolling buffer of confirmed swing highs and swing lows detected via a configurable pivot lookback. When at least three swing highs and three swing lows are available, the engine tests them against the following Elliott Wave rules: Wave 2 must not retrace beyond the start of Wave 1 — validated by checking that the second swing low remains above the first swing low (bullish) or below the first swing high (bearish) Wave 3 must not be the shortest impulse wave — validated by comparing the Wave 3 range to at least 70% of the Wave 1 range Wave 4 must not overlap into Wave 1 territory — validated by checking that the Wave 4 low stays above the Wave 2 low (bullish) or Wave 4 high stays below the Wave 2 high (bearish) Wave 2 retracement must be between 15% and 95% of Wave 1 — filters out patterns that are too shallow or too deep Wave 4 retracement must be between 10% and 90% of Wave 3 — ensures proper proportionality Temporal ordering must be correct — all six pivot points must occur in strict chronological sequence Wave 5 must exceed Wave 3's high (bullish) or undercut Wave 3's low (bearish) — confirms the impulse completed with a new extreme When all rules pass simultaneously, the engine marks the complete 1–5 impulse structure on the chart with numbered labels and connecting wave lines. Wave 3 and Wave 5 receive larger, brighter labels because they represent the highest-momentum phases of the impulse. Corrective Wave Detection (ABC Pattern) After an impulse completes, the engine monitors for corrective price action: For a completed bullish impulse — the engine watches for a pullback that retraces between 20% and 72% of the impulse range, indicating an ABC correction is forming For a completed bearish impulse — the engine watches for a bounce that retraces between 20% and 72% of the impulse range The correction must originate after Wave 5 completes — ensures proper sequence A configurable cooldown prevents multiple correction labels from firing on the same structure Corrective zones are particularly valuable because they represent potential entry opportunities in the direction of the prior impulse trend — the market is pulling back within a larger trend structure. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Fibonacci Golden Zone System When an impulse wave completes, the engine automatically projects Fibonacci retracement levels across the entire impulse range: 38.2% Retracement — the shallowest institutional retracement level 50.0% Retracement — the equilibrium midpoint of the impulse 61.8% Retracement — the golden ratio level, highest-probability reversal zone The area between the 38.2% and 61.8% levels forms the Golden Zone — a shaded box that represents the highest-probability area for the corrective wave to terminate and the trend to resume. This is where institutional traders typically place their limit orders. The Golden Zone system includes intelligent lifecycle management: Zones automatically expire after a configurable maximum age (default 80 bars) Zones are removed when price closes significantly beyond them (1.5 ATR past the zone boundary) — indicating the zone has been invalidated Maximum active zones are capped (configurable) to keep the chart clean The indicator tracks whether price is currently inside a bullish or bearish Golden Zone — this information feeds directly into the confluence scoring engine ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Wave 3 Setup Detection Wave 3 is traditionally the strongest and longest wave in Elliott Wave theory. AlphaX Wave includes a dedicated Wave 3 Setup Scanner that identifies potential Wave 3 initiations in real-time: Detects when price has completed a valid Wave 1 (impulse move) followed by a Wave 2 (pullback between 15% and 90% of Wave 1) Confirms the pullback low remains above the Wave 1 starting point (bullish) or below it (bearish) — validating the wave structure Requires a directional confirmation candle (close above prior high for bullish, close below prior low for bearish) Marked with small purple triangles — ▲ below bar for bullish Wave 3 setups, ▼ above bar for bearish Wave 3 setups are among the highest-probability trade entries in all of technical analysis because they align with the strongest phase of the impulse trend. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 8-Factor Confluence Scoring Engine Every potential trade signal is evaluated across eight independent confluence factors . Each factor scores either 0 or 1 point, producing a confluence score from 0 to 8. Only signals meeting your configured minimum confluence threshold are displayed. Factor 1 — Wave 3 Setup (W3) Is a valid Wave 3 initiation pattern present? This is the single most powerful factor — Wave 3 moves are the strongest in Elliott theory Factor 2 — ABC Correction Zone (ABC) Is the market currently in a corrective phase following a completed impulse? Corrections within trends offer the best risk/reward entries Factor 3 — Price in Fibonacci Golden Zone (FIB) Is price currently inside an active Golden Zone box (between 38.2% and 61.8% retracement)? Golden Zone entries have institutional backing Factor 4 — Price at Specific Fibonacci Level (FLV) Is price at or near the 38.2%, 50.0%, or 61.8% retracement level specifically? Precision Fibonacci entries add edge beyond just being "in the zone" Factor 5 — Momentum Alignment (MOM) Are RSI slope, MACD direction, MACD histogram momentum, and Stochastic all aligned in the signal direction? Requires at least 2 of 5 momentum sub-factors to confirm Factor 6 — RSI Divergence (DIV) Is a confirmed RSI divergence present (price makes new low but RSI makes higher low, or vice versa)? Divergence is one of the most reliable reversal confirmation signals Factor 7 — Volume Confirmation (VOL) Is current volume above the moving average with a candle closing in the signal direction? Volume validates institutional participation in the move Factor 8 — EMA Trend Alignment (EMA) Are the Fast (21), Medium (50), and Slow (200) EMAs properly stacked in the signal direction? Or is price at least above/below the 200 EMA with Fast above/below Medium? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Confidence Scoring & Grade System Beyond the 8-factor confluence count, each signal receives a weighted confidence score from 0 to 100% that reflects the quality and strength of the setup: Wave Structure (up to 22 points) Wave 3 Setup present = 22 points (highest single contributor) ABC Correction active = 12 points Fibonacci Alignment (up to 22 points) Price inside Golden Zone = 15 points Price at 61.8% level = 7 points, at 50.0% = 5 points, at 38.2% = 4 points Momentum Confirmation (up to 23 points) Momentum aligned (2+ sub-factors) = 12 points Strong momentum (4+ sub-factors) = additional 6 points MACD crossover on signal bar = 5 points RSI Analysis (up to 14 points) RSI divergence confirmed = 10 points RSI slope in ideal range = 4 points RSI already at opposite extreme (penalty) = -5 points Volume & Trend (up to 20 points) Volume above average + directional candle = 5 points Volume spike + directional candle = 3 points Full EMA alignment (Fast > Medium > Slow or reverse) = 8 points Cloud direction confirmed = 4 points Signals are classified into grades based on the final confidence score: A+ Grade (70%+) — Exceptional setup. Maximum confluence across wave structure, Fibonacci, momentum, and trend. A Grade (55–69%) — High-quality setup. Most major factors aligned. B Grade (40–54%) — Solid setup. Core conditions met with moderate confirmation. C Grade (25–39%) — Marginal setup. Basic conditions met but weaker confirmation. Hidden by default. D Grade (below 25%) — Weak setup. Minimal confluence. Hidden by default. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Signal Labels — What They Show Each entry signal label displays comprehensive information in a compact format: Direction — ▲ LONG or ▼ SHORT with spaced lettering Grade — A+, A, B, C, or D classification Confidence Percentage — The weighted score from the confidence engine Confluence Count — How many of the 8 factors are active (e.g., 5/8) Active Factor Checklist — Shows exactly which factors contributed: ✓W3 ✓ABC ✓FIB ✓FLV ✓MOM ✓DIV ✓VOL ✓EMA Label colors follow the grade system: Bull signals — Bright green (A+), Primary green (A), Dim green (B), Neutral gray (C/D). All use dark text for readability. Bear signals — Bright red (A+), Primary red (A), Dim red (B), Neutral gray (C/D). All use white text for readability. A thin dotted line connects the signal label to the price bar, keeping the label offset from price action to avoid chart clutter. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Smart SL/TP System — Structure-Based Risk Management Every entry signal automatically generates three trade management levels — Stop Loss, Target 1, and Target 2 — using a multi-source calculation engine that prioritizes structural price levels over arbitrary ATR multiples. Stop Loss Calculation The SL engine searches for the optimal stop placement using this priority cascade: Nearest swing structure — Finds the closest confirmed swing low (for longs) or swing high (for shorts) within a 50-bar lookback. Places the SL beyond this level with ATR padding. ATR floor and cap — Ensures the SL is never too tight (70% of base ATR multiple) or too wide (180% of base ATR multiple) regardless of swing structure. Confidence modifier — Higher-grade signals receive tighter stops (0.85× for A+, 0.92× for A, 1.0× for B, 1.15× for C/D). This reflects the higher-probability nature of strong setups. Target 1 Calculation TP1 represents the conservative take-profit level: Nearest opposing swing — Searches for the closest swing high above entry (longs) or swing low below entry (shorts) that provides at least 1.2× the SL distance. Fibonacci level targeting — If an active Fibonacci zone has a 38.2% or 50.0% level above/below entry that provides better targeting than the swing level, the Fib level is used. Minimum R:R enforcement — TP1 is guaranteed to provide at least the configured ATR multiple (default 2.5×) of risk-reward. Target 2 Calculation TP2 represents the extended profit target: Wave-based projection — If an impulse wave is active, TP2 is calculated as 61.8% of the total impulse range — representing the typical next-wave target. Far swing structure — Searches for swing levels further than TP1 that provide at least 1.3× the TP1 distance. Fibonacci extension — If the 61.8% Fibonacci level provides a target beyond TP1, it is used as TP2. Minimum spacing — TP2 is guaranteed to be at least 1.5× the TP1 distance from entry. Break-Even Protection When TP1 is hit, the system automatically adjusts the Stop Loss to the entry price (break-even). The SL label changes to "BE" with a neutral color, visually confirming that the trade is now risk-free on the remaining position targeting TP2. Hit Tracking All SL/TP levels are tracked in real-time: When a level is hit, the label changes color — red fill for SL hits, green fill for TP hits SL hits are processed first — if the SL is hit, TP levels for that trade are no longer tracked TP1 must be hit before TP2 tracking activates the break-even mechanism Historical SL/TP groups are automatically trimmed to keep the chart clean (configurable history count) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Trend Context Layer Three independent trend analysis systems provide structural context: Triple EMA System Fast EMA (21) — Yellow-green crosses. Immediate momentum reference. Medium EMA (50) — Gray line. Intermediate trend filter. Slow EMA (200) — Dark gray, thicker line. Macro structural backbone used in confidence scoring. When all three are properly stacked (Fast > Medium > Slow for bullish, reverse for bearish), trend alignment scores maximum points. Trend Cloud Calculated from the midpoints of the highest high / lowest low over fast (9) and slow (26) periods When the fast midpoint is above the slow midpoint, the cloud fills green — bullish bias When below, the cloud fills red — bearish bias Cloud direction adds 4 points to the confidence score when aligned with the signal RSI Divergence System Detects classical RSI divergence using pivot-based comparison Bullish divergence — price makes a lower low but RSI makes a higher low Bearish divergence — price makes a higher high but RSI makes a lower high Divergence must occur within a valid lookback window (5–50 bars between pivots) and be recent (within 3 bars of the current RSI pivot) Marked with small diamond shapes — green below bar for bullish, red above bar for bearish ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Momentum Engine The momentum engine combines four oscillator systems into a unified momentum score: RSI Slope — Smoothed RSI direction over 2 bars. Bullish when RSI is between 40–75 and rising. Bearish when RSI is between 25–60 and falling. MACD Direction — MACD Line above Signal Line = bullish, below = bearish. MACD Histogram Momentum — Histogram increasing = bullish momentum, decreasing = bearish momentum. Stochastic Alignment — %K above %D with room to run (below 80) = bullish. %K below %D with room to fall (above 20) = bearish. MACD Crossover — Fresh MACD crossover on the signal bar adds additional confirmation. Scores of 2+ out of 5 confirm momentum alignment. Scores of 4+ indicate strong momentum — adding bonus points to the confidence score. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Dashboard Intelligence A comprehensive 3-column AlphaX-branded dashboard provides real-time analysis across all engine layers: Wave & Fibonacci Status Current wave phase — Impulse 1–5 (detected/active), Corrective ABC, or Scanning Wave trend direction — Bullish or Bearish impulse context Fibonacci status — In Golden Zone, at specific level, or no active zone Active Fibonacci zone count Momentum & Trend Momentum state — Strong Bull/Bear, Bullish/Bearish, or Flat Bull/Bear sub-factor scores (e.g., 3▲ 1▼) EMA trend alignment — Bull Aligned, Bear Aligned, or Mixed Price position relative to 200 EMA Cloud direction — Bullish, Bearish, or Flat Volume & Oscillators Relative volume — Spike, High, Normal, or Dry with exact ratio RSI state — Overbought, Oversold, Rising, Falling, or Neutral with numeric value Confluence & Verdict Bull confluence score — count out of 8, confidence percentage, and letter grade Bear confluence score — count out of 8, confidence percentage, and letter grade Verdict — the engine's overall assessment: High Confidence Long, High Confidence Short, Lean Long/Short with Caution, Mixed — Stand Aside, or No Clear Edge ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Wave — Step by Step Step 1 — Identify the Wave Structure Look for completed impulse patterns (numbered 0–5 on the chart) Check the Dashboard: What is the current Wave Phase? If "SCANNING" — no valid wave structure detected yet. Wait for pattern formation. Step 2 — Wait for Correction or Wave 3 Setup After an impulse completes, watch for the "ABC CORRECTION ZONE" label — this is where the market is pulling back within the trend Watch for Wave 3 Setup triangles (▲/▼) — these mark the beginning of the strongest wave Check if price is entering a Fibonacci Golden Zone (purple shaded box) Step 3 — Enter on Confluence Signal Wait for a graded entry label (▲ LONG or ▼ SHORT) to appear Check the grade — A+ and A signals have the highest probability Review the factor checklist — more ✓ marks = stronger setup The SL and TP levels are automatically plotted for immediate trade management Step 4 — Manage the Trade Monitor the SL/TP levels on the chart — they update automatically When TP1 is hit, the label lights up green and the SL moves to break-even Hold the remaining position for TP2 risk-free If SL is hit first, the label turns red — accept the loss and wait for the next setup Step 5 — Read the Verdict The Dashboard Verdict row summarizes the engine's real-time assessment "HIGH CONFIDENCE LONG/SHORT" — all systems aligned, actively look for entries "LEAN LONG/SHORT — CAUTION" — some alignment but not full, trade with reduced size "MIXED — STAND ASIDE" — conflicting signals, do not trade "NO CLEAR EDGE" — insufficient data, wait for structure to develop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ When NOT to Trade — Reading the Warning Signs Dashboard shows "SCANNING" — No valid wave structure detected. The market may be in a complex correction or transition phase. Verdict shows "MIXED — STAND ASIDE" — Bull and bear confluence are both active simultaneously. Conflicting signals cancel each other. Cloud is flat or rapidly switching colors — No established trend direction. Signals during cloud transitions are less reliable. EMAs are tangled and flat — Range-bound market. Wave patterns in choppy conditions produce lower-quality signals. Only C or D grade signals appearing — Insufficient confluence. These grades are hidden by default for a reason. RSI showing "OVERBOUGHT" on a long signal — The confidence engine already penalizes this (-5 points), but it is worth noting visually as well. Volume showing "DRY" — Low-volume environments reduce the reliability of all technical patterns including waves. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 Automated Elliott Wave impulse detection (1–5) with strict rule validation 📐 ABC corrective pattern recognition with retracement depth validation 🎯 Wave 3 Setup Scanner — identifies the strongest wave initiation points 📊 Fibonacci Golden Zone projection with intelligent lifecycle management 🧠 8-factor confluence scoring — Wave, ABC, Fibonacci, Fibonacci Level, Momentum, Divergence, Volume, EMA 📈 Weighted confidence scoring (0–100%) with A+ through D grade classification ▲▼ Detailed signal labels showing grade, confidence, confluence count, and active factor checklist 🎯 Structure-based SL/TP system — swing levels, Fibonacci targets, and wave projections 🛡 Automatic break-even protection when TP1 is hit 📊 Real-time hit tracking with visual color changes on SL/TP labels ☁ Trend Cloud with gradient fill for instant directional bias 📐 Triple EMA system (21/50/200) for structural trend context 💎 RSI divergence detection with pivot-based validation 📊 Multi-oscillator momentum engine (RSI, MACD, Stochastic) 📊 Volume spike detection with configurable multiplier 📐 Comprehensive 3-column dashboard with verdict system 🎨 Cohesive triple-tone color theme — Green for bull, Red for bear, Purple for wave structure 🔔 10 alert conditions — signals, impulses, corrections, Wave 3 setups, and divergences ⚙ Fully configurable — wave detection, Fibonacci, momentum, signals, SL/TP, and all visuals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Wave Detection Swing Detection Length — Pivot lookback for identifying swing highs and lows (default: 6) Show Wave Count Labels — Toggle the numbered 0–5 labels on impulse waves Show Wave Structure Lines — Toggle the connecting lines between wave points Show Impulse Completion — Toggle the "IMPULSE COMPLETE" notification labels Show Corrective Patterns — Toggle the "ABC CORRECTION ZONE" labels Show Wave 3 Setup Markers — Toggle the purple triangle markers Wave Pattern Cooldown — Minimum bars between wave pattern detections (default: 18) Fibonacci Show Fib Golden Zone Boxes — Toggle the shaded 38.2%–61.8% retracement zone Max Fib Zone Boxes — Maximum simultaneous Golden Zones (default: 3) Fib Zone Max Age — Bars before a zone auto-expires (default: 80) Momentum RSI Length / Smoothing — Core RSI calculation parameters MACD Fast / Slow / Signal — MACD oscillator parameters Show RSI Divergence — Toggle divergence diamond markers Volume Volume MA Length — Baseline period for volume comparison (default: 20) Volume Spike Multiplier — Threshold for spike detection (default: 1.6×) Show Volume Spike Dots — Toggle volume spike indicators at bar bottom EMA Settings Fast / Medium / Slow EMA — Independently toggle visibility and set periods Defaults: 21 / 50 / 200 Trend Cloud Show Trend Cloud — Toggle the gradient cloud fill Cloud Fast / Slow Length — Midpoint calculation periods (default: 9 / 26) Confluence Engine Min Confluence Score — Minimum factors required for a signal (default: 3 of 8) Show Entry Signals — Toggle signal labels Signal Cooldown — Minimum bars between signals (default: 10) Signal Label Offset — Distance below/above bar in ATR units (default: 3.0) Show Grade C / D Signals — Toggle lower-quality signal visibility (default: off) SL / TP Show Stop Loss & Targets — Toggle all SL/TP visual elements Stop Loss (× ATR) — Base ATR multiple for stop loss calculation (default: 2.0) Target 1 (× ATR) — Base ATR multiple for conservative target (default: 2.5) Target 2 (× ATR) — Base ATR multiple for extended target (default: 5.0) Limit SL/TP History — Cap the number of visible historical trade levels SL/TP History Count — Maximum trade groups shown (default: 8) Move SL to Break Even after TP1 — Enable/disable break-even protection Display Show Dashboard — Toggle the information panel Dashboard Position — Top Right, Top Left, Bottom Right, Bottom Left Dashboard Text Size — Tiny, Small, Normal Dashboard Background — Background color for the panel Theme Colors Bull Primary / Bright / Dim — Green family for bullish elements Bear Primary / Bright / Dim — Red family for bearish elements Wave Primary / Bright / Dim — Purple family for wave structure elements Fibonacci Levels / Dim — Purple-pink family for Fibonacci zones EMA colors — Fast (green), Medium (gray), Slow (dark gray) Neutral — Gray for inactive/mixed states ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions Wave Long Signal — Fires when a graded bullish entry signal appears Wave Short Signal — Fires when a graded bearish entry signal appears Bullish Impulse Complete — Fires when a full 1–5 bullish impulse is detected Bearish Impulse Complete — Fires when a full 1–5 bearish impulse is detected Wave 3 Bull Setup — Fires when a bullish Wave 3 initiation pattern is detected Wave 3 Bear Setup — Fires when a bearish Wave 3 initiation pattern is detected RSI Bull Divergence — Fires when bullish RSI divergence is confirmed RSI Bear Divergence — Fires when bearish RSI divergence is confirmed Bullish ABC Correction — Fires when a bullish corrective zone is identified Bearish ABC Correction — Fires when a bearish corrective zone is identified All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is tuned for XAUUSD (Gold) and major instruments on the 5-minute to 1-hour timeframes : Swing Length at 6 captures wave structure without excessive lag on intraday charts Minimum confluence at 3/8 ensures signals have meaningful multi-factor backing Signal cooldown at 10 bars prevents rapid-fire signals during volatile wave transitions SL at 2.0 ATR with structure-based adjustment provides adaptive risk sizing TP1 at 2.5 ATR and TP2 at 5.0 ATR provide minimum 1.25R and 2.5R risk-reward ratios Break-even protection ensures profitable trades are protected after TP1 Grade C and D signals hidden by default to maintain signal quality For other instruments or timeframes, adjust: Higher timeframes (4H, Daily) — Increase Swing Length to 8–14, increase Wave Cooldown to 30–50, increase SL/TP ATR multiples Lower timeframes (1m) — Reduce Swing Length to 4–5, reduce Signal Cooldown to 5–7, increase Min Confluence to 4 Forex majors — Use defaults, optionally reduce Swing Length to 5 for tighter wave detection Crypto — Increase Swing Length to 8–10 (higher volatility), increase SL ATR multiple to 2.5–3.0 Fewer, higher-quality signals — Increase Min Confluence to 4–5, increase Signal Cooldown, hide Grade C/D More signals — Reduce Min Confluence to 2, enable Grade C signals, reduce cooldown ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 📐 Elliott Wave Practitioners — Automated wave counting with strict rule validation eliminates subjective bias 📊 Fibonacci Traders — Automatic Golden Zone projection with lifecycle management removes manual drawing 🥇 Gold & Forex Intraday Traders — Optimized for instruments with clean wave structures on fast timeframes 🧠 Systematic Traders — The 8-factor confluence + weighted confidence system provides a fully quantitative framework 🎯 Traders who want complete trade plans — Entry, SL, TP1, TP2, and break-even all generated automatically 📈 Traders learning Elliott Wave — The visual wave labels and structure lines serve as an educational overlay ⚠ Traders who struggle with exit management — The SL/TP system with hit tracking and break-even automation removes emotional decision-making ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes Wave detection uses confirmed pivot points (offset by the swing length) — wave labels appear after structural confirmation, not in real-time. This prevents repainting. The indicator requires sufficient bar history to populate swing buffers — allow at least 100+ bars of data before expecting wave pattern detection Elliott Wave rules are applied as mathematical approximations of the classical theory — certain complex wave structures (extended waves, truncations, diagonal triangles) may not be detected SL/TP levels are calculated at signal time and do not adjust afterward (except the break-even mechanism on TP1 hit) Maximum 500 labels, 500 lines, and 500 boxes are used — on very low timeframes with extended history and many signals, oldest drawings may be automatically removed by TradingView's rendering limits The SL/TP history is automatically trimmed to the configured limit (default 8 trade groups = 24 labels/lines) to stay within TradingView's drawing limits All confluence factors and confidence scores are recalculated on every bar — the dashboard reflects the current bar's state, not the last signal's state ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Elliott Wave patterns, Fibonacci levels, and all signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Elliott Wave theory is inherently subjective and interpretive; automated detection provides one possible wave count among many valid alternatives. Past wave patterns and signal performance do not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand clarity, confidence, and precision from their charts.

Pine Script® indicator

by AlphaX-Trade

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Select market data provided by ICE Data Services. Select reference data provided by FactSet. Copyright © 2026 FactSet Research Systems Inc.Copyright © 2026, American Bankers Association. CUSIP Database provided by FactSet Research Systems Inc. All rights reserved. SEC fillings and other documents provided by Quartr.© 2026 TradingView, Inc.

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